SYSTEM AND METHOD FOR DYNAMIC PROFILING OF USER IN ONE-TO-ONE APPLICATIONS AND FOR VALIDATION OF USER RULES

• US 20090327197A1
• Filed: 09/03/2009
• Published: 12/31/2009
• Est. Priority Date: 11/14/1997
• Status: Active Grant

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: New York University
• Inventors: Tuzhilin, Alexander S., Adomavicius, Gediminas
• Granted Patent: US 8,103,611 B2
• Time in Patent Office: Days
• US Class Current: 706/47
• CPC Class Codes: G06Q 30/018 Certifying business or products
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0224 based on user history
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0267 Wireless devices
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: Y10S 706/925 Business
• CPC Class Codes: Y10S 706/934 Information retrieval or Information management
• CPC Class Codes: Y10S 707/99931 Database or file accessing
• CPC Class Codes: Y10S 707/99932 Access augmentation or optimizing
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching
• CPC Class Codes: Y10S 707/99936 Pattern matching access
• CPC Class Codes: Y10S 707/99945 Object-oriented database structure processing

Abstract

A system and method for generating and validating a user profile (25) for a user based on a static profile (10) and a dynamic profile, (15) of the user. The method and system compresses the dynamic rules (15) into aggregated rules so that the user can view a comparatively small number of the aggregated rules and select the desired rules from the aggregated rules based on user-desired criteria. The method and system validates user rules (60) using a processing device, which are retrieved from a storage device. The user rules are separated into at least one subset of a user set. Then, it is determined if a particular rule of the at least one subset is one of acceptable, unacceptable and undecided based on a defined criteria (415). If the particular rules of the at least one subset are acceptable, the particular rules of the at least one subset are provided (e.g. assigned) to a corresponding user (435).

Claims

1-76. -76. (canceled)

76. A process for providing at least one recommendation to at least one of one or more users and one or more applications using multidimensional data, comprising the steps of:

a) accessing the multidimensional data which define a multidimensional space, the multidimensional space having at least three dimensions, each of the dimensions capable of (i) providing variable information, and (ii) having a type that is different from a type of another one of the dimensions;

b) retrieving information from data associated with the multidimensional space; and

c) generating the at least one recommendation based on the retrieved information.

77. The process according to claim 76, wherein the at least one recommendation includes multidimensional suggestions.

78. The process according to claim 77, wherein the multidimensional suggestions are based on multiple factors associated with the at least one of the users and the applications.

79. The process according to claim 76, wherein at least one of the dimensions includes a hierarchy.

87. The process according to claim 76, wherein the at least one recommendation is provided to the at least one of the users and applications.

88. The process according to claim 76, wherein the at least one recommendation is provided for a particular category of at least one of goods, services and certain information.

89. The process according to claim 76, wherein the information is factual information.

90. The process according to claim 76, wherein a number of the dimensions in the multidimensional space is predetermined.

80. A process for providing at least one recommendation to at least one of one or more users and one or more applications using multidimensional data, comprising the steps of:

a) accessing the multidimensional data which define a multidimensional space, the multidimensional space having at least three dimensions, each capable of providing variable information;

b) retrieving information from data associated with the multidimensional space; and

c) generating the at least one recommendation based on the retrieved information, wherein at least one of the dimensions includes profiles.

81. The process according to claim 80, wherein the profiles have static characteristics.

82. The process according to claim 81, wherein the static profiles include factual information consisting of at least one of fields, variables and records relating to the respective dimension.

83. The process according to claim 82, further comprising the step of:

g) recording each of the static profiles in a data storage arrangement as one record per each dimension.

84. The process according to claim 80, wherein the profiles have dynamic characteristics.

85. The process according to claim 84, wherein the dynamic profiles include at least one set of rules.

86. The process according to claim 84, wherein the dynamic profiles include at least one set of sequences.

91. A system which provides at least one recommendation to at least one of one or more users and one or more applications using multidimensional data, the system comprising:

a processing subsystem which, when executed on the processing device, configures a processing device to perform the following;

a) access the multidimensional data which define a multidimensional space, the multidimensional space having at least three dimensions each of the dimensions capable of (i) providing variable information, and (ii) having a type that is different from a type of another one of the dimensions,

b) retrieve information from data associated with the multidimensional space, and

c) generate the at least one recommendation based on the retrieved information.

92. The system according to claim 91, wherein the at least one recommendation includes multidimensional suggestions.

93. The system according to claim 91, wherein the multidimensional suggestions are based on multiple factors associated with the at least one of the users and the applications.

94. The system according to claim 91, wherein at least one of the dimensions includes a hierarchy.

95. The system according to claim 91, wherein the information is factual information.

96. The system according to claim 91, wherein a number of the dimensions in the multidimensional space is predetermined.

97. A system which, when executed on a processing device, provides at least one recommendation to at least one of one or more users and one or more applications using multidimensional data, the system comprising:

a processing subsystem which, when executed on the processing device, configures the processing device to perform the following;

a) access the multidimensional data which define a multidimensional space, the multidimensional space having at least three dimensions each capable of providing variable information,

b) retrieve information from data associated with the multidimensional space, and

c) generate the at least one recommendation based on the retrieved information, wherein at least one of the dimensions includes profiles.

98. The system according to claim 97, wherein the profiles have static characteristics.

99. The system according to claim 98, wherein the static profiles include factual information consisting of at least one of fields, variables and records relating to the respective dimension.

100. The system according to claim 99, wherein the processing subsystem which, when executed on the processing device, configures the processing device to further perform the following:

g) record each of the static profiles in a data storage arrangement as one record per each dimension.

101. The system according to claim 99, wherein the profiles have dynamic characteristics.

102. The system according to claim 101, wherein the dynamic profiles include at least one set of rules.

103. The system according to claim 101, wherein the dynamic profiles include at least one set of sequences.

104. The system according to claim 97, wherein the at least one recommendation is provided to the at least one of users and applications.

105. The system according to claim 97, wherein the at least one recommendation is provided for a particular category of at least one of goods, services and certain information.

106. The system according to claim 97, wherein the at least one recommendation is generated by issuing a recommendation request-type query.

107. The system according to claim 106, wherein the recommendation request-type query is translatable into a Structured Query Language query.

108. Computer software which is provided on a computer readable medium and executable on a processing device to provide at least one recommendation to at least one of one or more users and one or more applications using multidimensional data, the computer software comprising:

a) a first module which, when executed by the processing device, accesses the multidimensional data which define a multidimensional space, the multidimensional space having at least three dimensions each of the dimensions capable of (i) providing variable information, and (ii) having a type that is different from a type of another one of the dimensions;

b) a second module which, when executed by the processing device, retrieves information from data associated with the multidimensional space; and

c) a third module which, when executed by the processing arrangement, generates the at least one recommendation based on the retrieved information.

109. Computer software which is provided on a computer readable medium and executable on a processing device to provide at least one recommendation to at least one of one or more users and one or more applications using multidimensional data, the computer software comprising:

a) a first module which, when executed by the processing device, accesses the multidimensional data which define a multidimensional space, the multidimensional space having at least three dimensions each capable of providing variable information;

b) a second module which, when executed by the processing device, retrieves information data associated with from the multidimensional space; and

c) a third module which, when executed by the processing arrangement, generates the at least one recommendation based on the retrieved information, wherein at least one of the dimensions includes profiles.