Methods and systems for processing playlists

• US 6,941,324 B2
• Filed: 03/21/2002
• Issued: 09/06/2005
• Est. Priority Date: 03/21/2002
• Status: Expired due to Term

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Alkove, James M., Debique, Kirt A., Plastina, Daniel, DeBacker, Gabriel S., Colville, Scott
• Primary Examiner(s): Robinson, Greta
• Assistant Examiner(s): LEWIS, CHERYL RENEA
• Application Number:
  US10/103,526
• Publication Number:
  US 20030182315A1
• Time in Patent Office: 1,265 Days
• Field of Search: 707 1- 5, 707/8, 707/10, 707/102, 707/104.1, 709/203
• US Class Current: 1/1
• CPC Class Codes: G06F 16/637 Administration of user profiles, e.g. generation, initialization, adaptation or distribution
• CPC Class Codes: G06F 16/639 using playlists
• CPC Class Codes: G06F 16/68 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9538 Presentation of query results
• CPC Class Codes: H04N 21/44222 Analytics of user selections, e.g. selection of programs or purchase activity monitoring of user selections in data processing systems G06F11/34; arrangements for monitoring the user's behaviour or opinions in broadcast systems H04H60/33
• CPC Class Codes: H04N 21/4788 communicating with other users, e.g. chatting arrangements for providing for computer conferences, e.g. chat rooms, to substation in data switching networks H04L12/1813; distributed application using peer-to-peer [P2P] networks H04L67/104
• CPC Class Codes: H04N 21/4825 using a list of items to be played back in a given order, e.g. playlists
• CPC Class Codes: H04N 21/4826 using recommendation lists, e.g. of programs or channels sorted out according to their score
• CPC Class Codes: H04N 21/8106 involving special audio data, e.g. different tracks for different languages
• CPC Class Codes: H04N 21/84 Generation or processing of descriptive data, e.g. content descriptors systems specially adapted for using meta-information in broadcast systems H04H60/73
• CPC Class Codes: Y10S 707/99931 Database or file accessing
• CPC Class Codes: Y10S 707/99935 Query augmenting and refining, e.g. inexact access
• CPC Class Codes: Y10S 707/99943 Generating database or data structure, e.g. via user interface
• CPC Class Codes: Y10S 707/99945 Object-oriented database structure processing
• CPC Class Codes: Y10S 707/99948 Application of database or data structure, e.g. distributed, multimedia, or image

Abstract

Various systems and methods described above permit a user'"'"'s content experience (e.g. music playing experience) to be monitored and for metadata describing this experience to be collected. This metadata can be dynamically updated as a user experiences media content and then used to impart to the user a personalized experience that is tailored to that specific user. A user'"'"'s metadata can, in some instances, provided across a wide variety of computing devices on which the user may experience the media content, thus standardizing the user'"'"'s personalized media experience. In addition, intelligent or “smart” playlists can be provided which, in some instances, can be dynamically and automatically updated to reflect current user experiences, thus providing a highly personalized and enjoyable content experience.

Claims

1. A method comprising:

monitoring a user'"'"'s media content experience by at least monitoring one or more habits associated with the user'"'"'s experience of the media content;

producing metadata associated with the user'"'"'s monitored habit(s);

associating produced metadata with media content experienced by the user; and

using the metadata to update a playlist that is associated with the user.

2. The method of claim 1, wherein the act of producing is performed for each media content that the user experiences.

3. The method of claim 1, wherein the act of monitoring is performed by monitoring the user'"'"'s media-playing experience.

4. The method of claim 1, wherein the act of monitoring is performed by monitoring the user'"'"'s music-playing experience.

5. The method of claim 1, wherein the act of producing is performed for each song that a user plays.

6. The method of claim 1, wherein the act of monitoring is performed by a media-playing application configured to play media that the user can experience.

7. The method of claim 1, wherein the act of monitoring is performed by a computing device on which the user can experience the media.

8. The method of claim 1, wherein the act of monitoring is performed relative to media content that is locally stored on a computing device and locally played on the computing device.

9. One or more computer-readable media having computer-readable instructions thereon which, when executed by one or more computing devices, implements the method of claim 1.

10. A system comprising:

one or more computer-readable media having computer-readable instructions thereon which, when executed by one or more computing devices, implements the method of claim 1; and

a computing device embodying the one or more computer-readable media.

11. A method comprising:

monitoring a user'"'"'s media-playing experience, the media-playing experience being provided by a media-playing application that is configured to play media content on a computing device, said monitoring being performed by at least monitoring one or more media-playing habits associated with the user'"'"'s media-playing experience;

producing metadata associated with the user'"'"'s media-playing habits;

associating produced metadata with media content experienced by the user by providing the metadata into a file that contains the media content experienced by the user; and

using the metadata to update a playlist that is associated with the user.

12. The method of claim 11 further comprising transferring the file to another computing device but, prior to transferring the file, removing the metadata associated with the media content.

13. The method of claim 11, wherein the act of monitoring is performed by monitoring the user'"'"'s music-playing experience.

14. The method of claim 13, wherein the act of producing is performed for each song that a user plays.

15. The method of claim 11, wherein the act of monitoring is performed by the media-playing application.

16. The method of claim 11, wherein the act of monitoring is performed by a computing device on which the user can experience the media content.

17. The method of claim 11, wherein the act of monitoring is performed relative to media content that is locally stored on a computing device and locally played on the computing device.

18. The method of claim 11, wherein the act of monitoring is performed by a first device on which the user can experience the media content, and further comprising:

updating metadata on at least a second device that can be used by the user to experience the media content by providing metadata from the first device to at least the second device.

19. One or more computer-readable media having computer-readable instructions thereon which, when executed by one or more computing devices, implement the method of claim 11.

20. A system comprising:

one or more computer-readable media having computer-readable instructions thereon which, when executed by one or more computing devices, implement the method of claim 11; and

a computing device embodying the one or more computer-readable media.

21. A method comprising:

monitoring a user s media-playing experience by monitoring one or more parameters associated with the user'"'"'s experience, the parameters comprising at least a last played time associated with when a particular piece of content was played by the user;

producing metadata associated with the monitored parameter(s);

associating produced metadata with media content experienced by the user; and

using the metadata to update a playlist that is associated with the user.

22. The method of claim 21, wherein the one or more parameters comprise one or more of the following parameters:

an update time associated with when one or more other parameters are updated;

a user rating for allowing a user to rate content;

an effective rating that provides a rating for content that the user has not actually rated;

a service rating for providing a third party rating on content;

a playcount total comprising the total number of times a particular piece of content has been played; and

one or more custom parameters that can be programmed by the user.

23. The method of claim 22, wherein the one or more parameters further comprise a timestamp parameter associated with when the effective rating was provided.

24. The method of claim 21, wherein the act of monitoring is performed by monitoring the user'"'"'s music-playing experience.

25. The method of claim 21, wherein:

the act of monitoring is performed by monitoring the user'"'"'s music-playing experience; and

the act of producing is performed for each song that a user plays.

26. The method of claim 21, wherein the act of monitoring is performed by a media-playing application configured to play media that the user can experience.

27. The method of claim 21, wherein the act of monitoring is performed by a first device on which the user can experience the media content and further comprising updating metadata on at least a second device that can be used by the user to experience the media content by providing metadata from the first device to at least the second device.

28. One or more computer-readable media having computer-readable instructions thereon which, when executed by one or more computing devices, implements the method of claim 21.

29. A system comprising:

one or more computer-readable media having computer-readable instructions thereon which, when executed by one or more computing devices, implements the method of claim 21; and

a computing device embodying the one or more computer-readable media.

30. A method comprising:

defining a plurality of time periods;

monitoring a user s media-playing experience by monitoring one or more parameters associated with the user'"'"'s media-playing experience during the defined time periods;

producing metadata associated with the monitored parameter(s);

associating produced metadata with media content experienced by the user; and

using the metadata to update a playlist that is associated with the user.

31. The method of claim 30, wherein the time periods comprise individual days.

32. The method of claim 30, wherein the time periods comprise times of the day.

33. The method of claim 30, wherein the time periods comprise times of the week.

34. The method of claim 30, wherein the time periods comprise one or more or:

individual days, times of the day, and times of the week.

35. The method of claim 30, wherein the parameters comprise one or more of:

a last played time associated with when a particular piece of content was played by the user;

an update time associated with when one or more other parameters are updated;

a user rating for allowing a user to rate content;

an effective rating that provides a rating for content that the user has not actually rated;

a service rating for providing a third party rating on content;

a playcount total comprising the total number of times a particular piece of content has been played; and

one or more custom parameters that can be programmed by the user.

36. The method of claim 30, wherein the act of monitoring is performed by monitoring the user'"'"'s music-playing experience.

37. The method of claim 30, wherein the act of monitoring is performed by monitoring the user'"'"'s music-playing experience for each song that a user plays.

38. The method of claim 30, wherein the act of monitoring is performed by a first device on which the user can experience the media content and further comprising updating metadata on at least a second device that can be used by the user to experience the media content by providing metadata from the first device to at least the second device.

39. One or more computer-readable media having computer-readable instructions thereon which, when executed by one or more computing device, implements the method of claim 30.

40. A system comprising:

one or more computer-readable media having computer-readable instructions thereon which, when executed by one or more computing device, implements the method of claim 30; and

a computing device embodying said one or more computer-readable media.

41. A method comprising:

monitoring multiple users'"'"' media-playing experiences by at least monitoring one or more media-playing habits associated with individual users;

producing metadata associated with each of the users'"'"' monitored habit(s);

associating produced metadata with media content experienced by the users; and

using the metadata to update one or more playlists associated with one or more of the users.

42. The method of claim 41, wherein said using comprises dynamically updating one or more of the playlists.

43. The method of claim 41, wherein said using comprises automatically updating one or more of the playlists.

44. The method of claim 41, wherein the act of monitoring is performed by monitoring the user'"'"'s music-playing experience.

45. The method of claim 41, wherein:

the act of monitoring is performed by monitoring the user'"'"'s music-playing experience;

the act of producing is performed for each song that a user plays.

46. The method of claim 41, wherein the act of monitoring is performed by a media-playing application configured to play media that the user can experience.

47. The method of claim 41, wherein the act of monitoring is performed by a computing device on which the user can experience the media.

48. The method of claim 41, wherein the act of monitoring is performed relative to media that is locally stored on a computing device and locally played on the computing device.

49. One or more computer-readable media having computer-readable instructions thereon which, when executed by one or more computing devices, cause the one or more computing devices to implement the method of claim 41.

50. A media-playing software application configured to implement the method of claim 41.

51. The method of claim 41 further comprising identifying each of the users with an identifier, each user'"'"'s identifier being recognizable by its associated user, but not being mathematically reversible to ascertain the associated user'"'"'s actual identity.

52. A method comprising:

monitoring multiple user'"'"'s media-playing experiences by monitoring one or more parameters associated with the users'"'"' experiences, the parameters comprising at least a last played time associated with when a particular piece of content was played by the users;

producing metadata, for each of the users, associated with the monitored parameter(s);

associating, for each of the users, produced metadata with media content experienced by the users; and

using the metadata to update one or more playlists associated with one or more of the users.

53. The method of claim 52, wherein said using comprises dynamically updating one or more of the playlists.

54. The method of claim 52, wherein said using comprises automatically updating one or more of the playlists.

55. The method of claim 52, wherein the one or more parameters comprise, for each user, one or more of the following parameters:

an update time associated with when one or more other parameters are updated;

a user rating for allowing a user to rate content;

an effective rating that provides a rating for content that the user has not actually rated;

a service rating for providing a third party rating on content;

a playcount total comprising the total number of times a particular piece of content has been played; and

one or more custom parameters that can be programmed by the user.

56. The method of claim 55, wherein the one or more parameters comprise a timestamp parameter associated with when the effective rating was provided.

57. The method of claim 52, wherein the act of monitoring is performed by monitoring the users'"'"' music-playing experiences.

58. The method of claim 52, wherein:

the act of monitoring is performed by monitoring the users'"'"' music-playing experiences; and

the act of producing is performed for each song that a user plays.

59. The method of claim 52, wherein the act of monitoring is performed by a media-playing application configured to play media that the one or more of the user can experience.

60. The method of claim 52, wherein the act of monitoring is performed by a computing device on which the one or more of the users can experience the media.

61. The method of claim 52, wherein the act of monitoring is performed relative to media that is locally stored on a computing device and locally played on the computing device.

62. The method of claim 52, wherein the act of monitoring is performed by a first device on which one or more user can experience the media content and further comprising updating metadata on at least a second device that can be used by the one or more user to experience the media content by providing metadata from the first device to at least the second device.

63. The method of claim 52 further comprising identifying each of the users with an identifier, each user'"'"'s identifier being recognizable by its associated user, but not being mathematically reversible to ascertain the associated user'"'"'s actual identity.

64. One or more computer-readable media having computer-readable instructions thereon which, when executed by one or more computing devices, implement the method of claim 52.

65. A computing device embodying the computer-readable media of claim 64.

66. A software application configured to implement the method of claim 52.

67. A method comprising:

defining a plurality of time periods;

monitoring multiple users'"'"' media-playing experiences by monitoring one or more parameters associated with individual user'"'"'s experience during the defined time periods;

producing, for individual users, metadata associated with the monitored parameter(s);

associating, for individual users, produced metadata with media content experienced by the respective users; and

using the metadata to update one or more playlists associated with one or more of the users.

68. The method of claim 67, wherein said using comprises dynamically updating the one or more playlists.

69. The method of claim 67, wherein said using comprises automatically updating the one or more playlists.

70. The method of claim 67, wherein the time periods comprise individual days.

71. The method of claim 67, wherein the time periods comprise times of day.

72. The method of claim 67, wherein the time periods comprise times of the week.

73. The method of claim 67, wherein the time periods comprise one or more of:

individual days, times of the day, and times of the week.

74. The method of claim 67, wherein the parameters comprise, for each user, one or more of:

a last played time associated with when a particular piece of content was played by the user;

an update time associated with when one or more other parameters are updated;

a user rating for allowing a user to rate content;

an effective rating that provides a rating for content that the user has not actually rated;

a service rating for providing a third party rating on content;

a playcount total comprising the total number of times a particular piece of content has been played; and

one or more custom parameters that can be programmed by the user.

75. The method of claim 67, wherein the act of monitoring is performed by monitoring the users'"'"' music-playing experience.

76. The method of claim 67, wherein the:

act of monitoring is performed by monitoring the users'"'"' music-playing experience; and

the act of producing is performed for each song that a user plays.

77. The method of claim 67, wherein the act of monitoring is performed by a media-playing application configured to play media that one or more users can experience.

78. The method of claim 67, wherein the act of monitoring is performed by a computing device on which one or more users can experience the media.

79. The method of claim 67, wherein the act of monitoring is performed relative to media that is locally stored on a computing device and locally played on the computing device.

80. The method of claim 67, wherein the act of monitoring is performed by a first device on which one or more users can experience the media content and further comprising updating metadata on at least a second device that can be used by the one or more users to experience the media content by providing metadata from the first device to at least the second device.

81. The method of claim 67 further comprising identifying each of the users with an identifier, each user'"'"'s identifier being recognizable by its associated user, but not being mathematically reversible to ascertain the associated user'"'"'s actual identity.

82. One or more computer-readable media having computer-readable instructions thereon which, when executed by one or more computing devices, implement the method of claim 67.

83. A computing device embodying the computer-readable media of claim 67.

84. A software application configured to implement the method of claim 67.

85. A method comprising:

monitoring multiple users'"'"' media-playing experiences using a first device on which one or more users can experience the media, wherein said monitoring is performed by at least monitoring one or more media-playing habits associated with individual users;

producing metadata associated with the users'"'"' monitored habit(s;

associating produced metadata with media content experienced by the users;

maintaining, for individual users, at least the metadata in a database on the first device;

updating metadata on at least a second device that can be used by one or more user to experience the media by providing metadata from the first device to at least the second device.

86. The method of claim 85, wherein the act of monitoring is performed by monitoring the users'"'"' music-playing experiences.

87. The method of claim 85, wherein:

the act of monitoring is performed by monitoring the users'"'"' music-playing experiences; and

the act of producing is performed for each song that a user plays.

88. The method of claim 85, wherein the act of monitoring is performed by a media-playing application configured to play media that one or more users can experience.

89. The method of claim 85, wherein the act of monitoring is performed by a computing device on which one or more users can experience the media.

90. The method of claim 85, wherein the act of monitoring is performed relative to media that is locally stored on a computing device and locally played on the computing device.

91. The method of claim 85, wherein the act of updating is performed by using, at least in part, a third party.

92. The method of claim 85, wherein the act of updating is performed by providing both the metadata and its associated media content to at least the second device.

93. The method of claim 85 further comprising identifying each of the users with an identifier, each user'"'"'s identifier being recognizable by its associated user, but not being mathematically reversible to ascertain the associated user'"'"'s actual identity.

94. One or more computer-readable media having computer-readable instructions thereon which, when executed by one or more computing devices, implement the method of claim 85.

95. A computing device embodying the computer-readable media of claim 94.

96. A software application configured to implement the method of claim 85.

97. A computer implemented method comprising:

receiving at least one character string associated with at least one user'"'"'s media-playing habit(s);

selecting a number of characters from the character string;

computing another character string using remaining characters of the received character string;

combining the selected characters and the computed character string to provide an identifier for said at least one user; and

associating the identifier with metadata that is associated with media content of a playlist that can be experienced by said at least one user.

98. The method of claim 97, wherein the act of computing comprises using a hash function.

99. A system comprising:

a playlist that lists media content that can be experienced by a user; and

one or more filters associated with the playlist that are configured to be used to query one or more databases to develop the playlist, wherein a developed playlist is based, at least in part, on the user'"'"'s monitored content-experiencing habits.

100. The system of claim 99, wherein said one or more filters are automatically executable to develop the playlist.

101. The system of claim 99, wherein said one or more filters comprise a first type of filter that adds media content and a second type of filter that removes content.

102. The system of claim 99, wherein said playlist describes music content.

103. The system of claim 99, wherein at least one filter is provided locally.

104. The system of claim 99, wherein at least one filter is provided by a third party.

105. The system of claim 99, wherein at least one filter is accessible via a network.

106. The system of claim 99, wherein at least one filter is accessible via the Internet.

107. A system comprising:

a playlist that lists media content that can be experienced by a user;

one or more filters associated with the playlist that are configured to be used to query one or more databases to develop the playlist, wherein a developed playlist is based, at least in part, on the user'"'"'s monitored content-experiencing habits; and

data associated with the playlist that is configured to enable a user to obtain media content that the user does not possess.

108. The system of claim 107, wherein said one or more filters are automatically executable to develop the playlist.

109. The system of claim 107, wherein said one or more filters comprise a first type of filter that adds media content and a second type of filter that removes content.

110. The system of claim 107, wherein the playlist describes music content.

111. The system of claim 107, wherein at least one filter is provided locally.

112. The system of claim 107, wherein at least one filter is provided by a third party.

113. The system of claim 107, wherein said data is configured to enable a user to purchase media content that the user does not possess.

114. The system of claim 107, wherein said data is configured to enable a user to purchase media content that the user does not possess, said data comprising a URL.

115. An architecture comprising:

a playlist engine configured to process a playlist file that references one or more filters; and

one or more filters referenced by the playlist engine and which can be used by the playlist engine to query one or more databases to develop a playlist, wherein a developed playlist is based, at least in part, on a user'"'"'s monitored content-experiencing habits.

116. The architecture of claim 115, wherein the playlist engine automatically queries the one or more databases to dynamically update the playlist.

117. The architecture of claim 115, further comprising one or more databases that can be queried by the playlist engine.

118. The architecture of claim 115 further comprising one or more local databases that can be queried by the playlist engine.

119. The architecture of claim 115 further comprising one or more remote databases that can be queried by the playlist engine.

120. An architecture comprising:

means for processing a playlist file to provide a playlist for a user;

means for defining one or more queries that can be used to query one or more databases for developing the playlist; and

means for querying the one or more databases, wherein a developed playlist is based, at least in part, on a user'"'"'s monitored content-experiencing habits.

121. The architecture of claim 120, wherein said means for querying automatically queries the one or more databases to dynamically update the playlist.

122. The architecture of claim 120, wherein said means for querying queries the one or more local databases to dynamically update the playlist.

123. The architecture of claim 120, wherein said means for querying queries the one or more remote databases to dynamically update the playlist.

124. A system comprising:

a media-playing application configured to play media content on a computing device;

a playlist engine configured to process a playlist file that references one or more filters, the playlist file referencing one or more pieces of media content that can be played by the media-playing application; and

one or more filters associated with the playlist engine and which can be used by the playlist engine to query one or more databases to develop a playlist, wherein a developed playlist is based, at least in part, on a user'"'"'s monitored content-experiencing habits.

125. The system of claim 124, wherein the playlist engine automatically queries the one or more databases to dynamically update the playlist.

126. The system of claim 124 further comprising one or more local databases that can be queried by the playlist engine.

127. The system of claim 124 further comprising one or more remote databases that can be queried by the playlist engine.

128. A system comprising:

a database;

media content in the database that is playable by a media-playing application;

metadata from one or more users associated with the media content in the database, the metadata being associated with a user'"'"'s media-playing experience;

a playlist engine configured to process a playlist file that references one or more filters; and

one or more filters associated with the playlist engine and which can be used by the playlist engine to query the database to develop a playlist that is unique to an individual user, wherein a developed playlist is based, at least in part, on a user'"'"'s monitored content-experiencing habits.

129. The system of claim 128, wherein the media content comprises music content.

130. The system of claim 128, wherein the media content and the associated metadata comprise individual entries in the database.

131. The system of claim 128 further comprising means for updating the metadata associated with the media content responsive to a user experiencing the media content.

132. The system of claim 128, wherein the playlist engine automatically queries the one or more databases to dynamically update the playlist.

133. A system comprising:

one or more filters;

the filters being configured for use in querying a database that contains metadata that is associated with media content that can be played via a media player application; and

the filters being configured to update a playlist for one or more users, wherein undated playlists are based, at least in part, on one or more of a user'"'"'s monitored content-experiencing habits.

134. The system of claim 133, wherein at least some of the metadata comprises metadata that is associated with a user'"'"'s media-playing experience.

135. The system of claim 133, wherein at least some of the filters are configured to permit the playlist to be dynamically updated.

136. The system of claim 133, wherein at least one filter adapts the playlist responsive to a user'"'"'s media-playing experience.

137. The system of claim 133, wherein at least one filter adapts the playlist responsive to a user'"'"'s listening habits.

138. The system of claim 133, wherein at least some of the filters are configured for periodic and automatic use in regenerating the playlist.

139. A method comprising:

providing one or more filters that can be used to execute queries;

querying one or more databases using at least one filter;

receiving a result set from the query; and

providing the result set as a playlist for a user, wherein the playlist is based, at least in part, on one or more of the user'"'"'s monitored content-experiencing habits.

140. The method of claim 139, wherein said act of querying queries one or more local databases.

141. The method of claim 139, wherein said act of querying queries one or more remote databases.

142. The method of claim 139, wherein said act of querying takes place responsive to, but unbeknownst to a user interacting with a media player application.

143. The method of claim 139, wherein said one or more databases comprise metadata from one or more users associated with the one or more user'"'"'s media-playing experience.

144. One or more computer-readable media having computer-readable instructions thereon which, when executed by one or more computing devices, cause the computing device(s) to implement the method of claim 139.

146. A media player application configured to implement the method of claim 139.

145. A computing device embodying the computer-readable media of 144.

147. A method comprising:

providing one or more filters that can be used to execute queries;

querying one or more databases using at least one filter;

receiving a result set from the query; and

providing the result set as a playlist for a user, the playlist being automatically adaptive, wherein the playlist is adaptive responsive to a user'"'"'s listening habits.

148. The method of claim 147, wherein the playlist is adaptive responsive to multiple users'"'"' listening habits.

149. The method of claim 147 further comprising periodically and automatically regenerating the playlist.

150. The method of claim 147, wherein the playlist describes music content.

151. The method of claim 147, wherein the playlist is adaptive without requiring any activity on the part of a user to maintain the playlist.

152. One or more computer-readable media having computer-readable instructions thereon which, when executed by one or more computing devices, cause the computing device(s) to implement the method of claim 147.

153. A computing device embodying the computer-readable media of claim 152.

154. A media player application configured to implement the method of claim 147.

155. A computer-readable media having computer-readable instructions, wherein execution of one or more computing devices cause the computing device(s) to implement:

a file format that is configured for use in dynamically updating a playlist for one or more users, wherein the playlist is dynamically updated, based at least in part, on individual users context experiencing habits.

156. The computer-readable medium of claim 155, wherein the file format comprises a static portion that contains a list of media content for the playlist and a dynamic portion that contains one or more queries for dynamically updating the playlist.

157. The computer-readable medium of claim 155, wherein the file format is defined in XML.

158. The computer-readable medium of claim 155, wherein the file format is defined in XML and uses a syntax comprising SMIL syntax.

159. A file format comprising:

a first portion containing data that is associated with multiple users of a playlist; and

a second portion containing data associated with the playlist.

160. The file format of claim 159, wherein the first portion comprises one or more user ratings that can rate the playlist.

161. The file format of claim 159, wherein the second portion comprises a static portion that contains a list of media content for the playlist and a dynamic portion that defines one or more queries for dynamically updating the playlist.

162. The file format of claim 161, wherein the static portion contains data associated with when the static portion was created.

163. The file format of claim 161, wherein the static portion contains data associated with when the static portion expires.

164. The file format of claim 161, wherein the static portion contains data associated with who created the static portion.

165. The file format of claim 161, wherein the static portion contains data associated with at least one path to the media content that is a subject of the playlist.

166. The file format of claim 161, wherein the static portion contains one or more identifier, individual identifiers being associated with individual media content and being configured for use in updating a path to the media content that is a subject of the playlist.

167. The file format of claim 161, wherein the dynamic portion contains references to one or more filters that can be used to query one or more databases.

168. The file format of claim 161, wherein the dynamic portion contains references to one or more filters that can be used to query one or more databases, at least one of the filters being configured to add content to a playlist.

169. The file format of claim 161, wherein the dynamic portion contains references to one or more filters that can be used to query one or more databases, at least one of the filters being configured to remove content from a playlist.

170. A method comprising:

executing software code that creates one or more media objects that are associated with a playlist that is to be rendered for a user;

sending the one or more media objects via the Internet to an entity for processing;

receiving, via the Internet, one or more media objects that are associated with the playlist, the one or more media objects containing data that is provided by said entity; and

using the one or more media objects to provide a playlist for a user.

171. The method of claim 170, wherein the one or more media objects contain data that enables said entity to source media content to the user.

172. The method of claim 170, wherein the one or more media objects comprise a data structure defined, at least in part, in XML.