Web based dating service with weighted interests matching

• US 20040260781A1
• Filed: 12/18/2003
• Published: 12/23/2004
• Est. Priority Date: 12/14/2000
• Status: Abandoned Application

• Current Assignee: Datelplay, Com, Inc.
• Original Assignee: Datelplay, Com, Inc.
• Inventors: Renet, Sean G., Rennert, Anthony, Shostack, Ronald N.
• Application Number:
  US10/740,174
• Publication Number:
  US 20040260781A1
• Time in Patent Office: Days
• US Class Current: 709/207
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: H04L 12/1822 Conducting the conference, e.g. admission, detection, selection or grouping of participants, correlating users to one or more conference sessions, prioritising transmission

Abstract

A dating related web site incorporates a number of services of interest to subscribers seeking a compatible mate or friend. A would-be subscriber first specifies profile information including authentication information, information relating to qualities desired in a friend and mate, the relative importance of the respective categories, and a screen image icon. The profile information is stored in a database associate with a web server hosting the dating site. The subscriber can then log onto the site and advantage the of chat room environments featured at the site. Rooms are hierarchically organized into lobbies and sub-lobbies corresponding to topics and sub-topics of discussion. In addition, the lobby and sub-lobby screens indicate the concentration of compatible participants in the rooms of corresponding lobbies and sub-lobbies, thus allowing easy navigation to a desirable room. In addition to manual navigation, the site features automatic navigation allowing the user to find a chat room with compatible participants automatically once a sub-lobby is selected. Upon participating in a chat session, the user and a participant may choose a “virtual date” option featured at the site to take advantage of a private chat environment and to view a private, date-related video clip. “Physical Attractiveness” criteria also permit the subscriber to screen members in the database based on community ratings of the physical attractiveness of the members and to limit access to the subscriber'"'"'s profile to members having a physical attractiveness ranking within a user-selected range around that of the physical attractiveness ranking for the subscriber.

Claims

1. A method for matching members of an online community based on interest based compatibility to each other, comprising the steps of:

accepting input from respective members indicating the degree of subscription or non-subscription the respective members have to predetermined interests on a scale of least interested to most interested;

determining interest-based compatibility between members by comparing scaled inputs for respective interests based on at least one of a total number of matching interests and a degree of alignment among matching interests; and

matching members of the online community on the basis of the determined interest-based compatibility.

2. A method as in claim 1, wherein said step of determining interest-based compatibility includes the steps of comparing a scaled input for each interest for respective members, in the case of mutual interest or mutual disinterest in a predetermined interest, incrementing a count of common perspectives, and assessing the degree of compatibility between the respective members as a function of the count of common perspectives.

3. A method as in claim 1, wherein said step of determining interest-based compatibility includes the steps of comparing a scaled input for each interest for respective members, in the case of mutual interest or mutual disinterest in a predetermined interest, incrementing a count of common perspectives and obtaining an absolute difference between each member'"'"'s scaled input for the interest, and assessing the degree of compatibility between respective members as a function of the total of absolute differences for respective interests divided by the count of common perspectives.

4. A method as in claim 2, comprising the further step of ignoring interests in said step of determining interest-based compatibility unless both members are interested in the predetermined interest or both members are not interested in the predetermined interest.

5. A method as in claim 3, comprising the further step of ignoring interests in said step of determining interest-based compatibility unless both members are interested in the predetermined interest or both members are not interested in the predetermined interest.

6. A method for matching members of an online community based on activity based compatibility to each other, comprising the steps of:

accepting input from respective members indicating the amount of importance the member ascribes to participation in a respective activities on a scale of least important to most important;

determining activity-based compatibility between members by comparing scaled inputs for respective activities based on at least one of a total number of matching activity importance indicators and a degree of alignment among matching activity importance indicators; and

matching members of the online community on the basis of the determined activity-based compatibility.

7. A method as in claim 6, wherein said step of determining activity-based compatibility includes the steps of comparing a scaled input for each activity importance indicator for respective members, in the case of mutual interest or mutual disinterest in the activity, incrementing a count of common perspectives, and assessing the degree of compatibility between the respective members as a function of the count of common perspectives.

8. A method as in claim 6, wherein said step of determining activity-based compatibility includes the steps of comparing a scaled input for each activity importance indicator for respective members, in the case of mutual interest or mutual disinterest in the activity, incrementing a count of common perspectives and obtaining an absolute difference between each member'"'"'s scaled input for the activity, and assessing the degree of compatibility between respective members as a function of the total of absolute differences for respective activities divided by the count of common perspectives.

9. A method as in claim 7, comprising the further step of ignoring interests in said step of determining activity-based compatibility unless both members are interested in the activity or both members are not interested in the activity.

10. A method as in claim 8, comprising the further step of ignoring interests in said step of determining activity-based compatibility unless both members are interested in the activity or both members are not interested in the activity.

11. A web server that delivers web pages to members of an online community based on personal profile characteristics including common interests of the respective members, comprising:

a member database;

a central processing unit with associated memory; and

software comprising instructions stored in said associated memory, wherein when said software is executed by said central processing unit, web pages are made available to the respective members of the online community that function to;

accept input from respective members indicating the degree of subscription or non-subscription the respective members have to predetermined interests on a scale of least interested to most interested;

determine interest-based compatibility between members by comparing scaled inputs for respective interests based on at least one of a total number of matching interests and a degree of alignment among matching interests; and

match members of the online community on the basis of the determined interest-based compatibility.

12. A server as in claim 11, wherein said software compares a scaled input for each interest for respective members, in the case of mutual interest or mutual disinterest in a predetermined interest, increments a count of common perspectives, and assesses the degree of compatibility between the respective members as a function of the count of common perspectives.

13. A server as in claim 11, wherein said software compares a scaled input for each interest for respective members, in the case of mutual interest or mutual disinterest in a predetermined interest, increments a count of common perspectives and obtains an absolute difference between each member'"'"'s scaled input for the interest, and assesses the degree of compatibility between respective members as a function of the total of absolute differences for respective interests divided by the count of common perspectives.

14. A server as in claim 12, wherein said software ignores interests for determining interest-based compatibility unless both members are interested in the predetermined interest or both members are not interested in the predetermined interest.

15. A server as in claim 13, wherein said software ignores interests for determining interest-based compatibility unless both members are interested in the predetermined interest or both members are not interested in the predetermined interest

16. A web server that delivers web pages to members of an online community based on personal profile characteristics including common activities of the respective members, comprising:

a member database;

a central processing unit with associated memory; and

software comprising instructions stored in said associated memory, wherein when said software is executed by said central processing unit, web pages are made available to the respective members of the online community that function to;

accept input from respective members indicating the amount of importance the member ascribes to participation in a respective activities on a scale of least important to most important;

determine activity-based compatibility between members by comparing scaled inputs for respective activities based on at least one of a total number of matching activity importance indicators and a degree of alignment among matching activity importance indicators; and

match members of the online community on the basis of the determined activity-based compatibility.

17. A server as in claim 16, wherein said software compares a scaled input for each activity for respective members, in the case of mutual interest or mutual disinterest in a predetermined activity, increments a count of common perspectives, and assesses the degree of compatibility between the respective members as a function of the count of common perspectives.

18. A server as in claim 16, wherein said software compares a scaled input for each activity for respective members, in the case of mutual interest or mutual disinterest in a predetermined activity, increments a count of common perspectives and obtains an absolute difference between each member'"'"'s scaled input for the activity, and assesses the degree of compatibility between respective members as a function of the total of absolute differences for respective activities divided by the count of common perspectives.

19. A server as in claim 17, wherein said software ignores activities for determining activity-based compatibility unless both members are interested in the predetermined activity or both members are not interested in the predetermined activity.

20. A server as in claim 18, wherein said software ignores activities for determining activity-based compatibility unless both members are interested in the predetermined activity or both members are not interested in the predetermined activity.