INTERACTIVE SYSTEM FOR COLLECTING, DISPLAYING, AND RANKING ITEMS BASED ON QUANTITATIVE AND TEXTUAL INPUT FROM MULTIPLE PARTICIPANTS

• US 20140108426A1
• Filed: 10/04/2013
• Published: 04/17/2014
• Est. Priority Date: 04/08/2011
• Status: Abandoned Application

• Current Assignee: Regents of the University of California (University of California)
• Original Assignee: Regents of the University of California (University of California)
• Inventors: Wong, David, Goldberg, Kenneth Y., Bitton, Ephrat, Faridani, Siamak
• Application Number:
  US14/046,816
• Publication Number:
  US 20140108426A1
• Time in Patent Office: Days
• US Class Current: 707/748
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

A system for interactive visualization of items in an online environment based on textual and quantitative properties of those items is described. End-users of the system are humans and items can be any objects such as songs, books, and other users. One aspect of the system is a process used to map an item'"'"'s quantitative and textual data into a position in the visualization, e.g., a two or three dimensional space. Using transformation matrices canonical correlation analysis (CCA) and a specific item'"'"'s quantitative and textual data, the system projects an item onto the visualization and uses ratings and spatial positions to assign reputation values to each end-user and their textual responses to facilitate efficient browsing and rating of items and viewing of patterns, trends, and insights as they emerge.

Claims

1. A system for comparative evaluation of one or more items of data received between a plurality of end users, comprising:

a server computer; and

programming executable on the server computer for;

receiving input from one or more client computers;

said input relating to the one or more items of data;

wherein said input comprises quantitative data and textual data relating to the one or more data items; and

applying one or more transformation functions to the textual and quantitative data to project one of the one or more data items from a first multi-dimensional representation to a second multi-dimensional representation;

wherein the first multi-dimensional representation comprises at least one more dimension than the second multi-dimensional representation.

2. A system as recited in claim 1:

wherein the quantitative data comprises one or more ratings corresponding to the one or more data items;

the one or more ratings generated by the plurality of users.

3. A system as recited in claim 2, wherein the one or more ratings are generated via a visual analog scale.

4. A system as recited in claim 2, wherein the textual data comprises one or more of:

textual responses corresponding to discussion topics, names, addresses and meta data.

5. A system as recited in claim 1, wherein said programming is further configured for:

extracting one or more features from said textual data; and

transforming the textual data into a multi-dimensional vector of values.

6. A system as recited in claim 5, wherein said programming is further configured for:

combining the textual and quantitative data with one or more transformation matrices.

7. A system as recited in claim 5, wherein said transforming is performed using canonical correlation analysis.

8. A system as recited in claim 6, wherein combining the textual and quantitative data comprises:

calculating a dot product between the multi-dimensional vectors and rows of corresponding transformation matrices with a row corresponding to a dimension in the second multi-dimensional representation.

9. A system as recited in claim 1, wherein the data items comprise one or more of:

discussion topics, textual responses, object names, documents, songs, videos or data relating to end users.

10. A system as recited in claim 1, wherein the second multi-dimensional representation comprises a visualization of data relating to the data items in a two or three dimensional space.

11. A system as recited in claim 1, wherein the visualization comprises a numerical value corresponding to a reputational feature of a data item.

12. A system as recited in claim 1, wherein the visualization is configured to allow one or more end users to browse and rate data items within the visualization.

13. A system as recited in claim 12, wherein said visualization comprises a user-interface configured to allow users to indicate a region within the visualization for returning data relating to one or more targeted data items.

14. A system as recited in claim 2, wherein said programming is further configured for:

generating a numerical reputation value based on a spatial distance corresponding to a data item being rated and an end user rating the data item.

15. A system as recited in claim 14, wherein the reputation value is calculated as a function of an end user'"'"'s reputation as a reviewer.

16. A system as recited in claim 1, wherein the second multi-dimensional representation comprises two sets of coordinates relating to a data item.

17. A system as recited in claim 14, wherein said programming is further configured for:

calculating a confidence interval as a parametric function relating to a distribution of the one or more ratings.

18. A system for comparative evaluation of one or more items of data received between a plurality of end users, comprising:

a server computer; and

programming executable on the server computer for;

receiving input from one or more client computers;

said input comprising data relating to one or more rating values associated with said one or more data items and data relating to the plurality of users;

assigning a location corresponding to one of the one or more data items based on the inputted rating values;

assigning a location corresponding to one of the plurality of users based on the inputted data relating to the plurality of users; and

generating a numerical reputation value based on a spatial distance corresponding to a data item being rated and an end user rating the data item.

19. A system as recited in claim 18, wherein the reputation value is calculated as a function of an end user'"'"'s reputation as a reviewer.

20. A system as recited in claim 18, wherein said programming is further configured for:

calculating a confidence interval as a parametric function relating to a distribution of the one or more ratings.

21. A system as recited in claim 18, wherein said input comprises quantitative data and textual data relating to the one or more data items, the programming further configured for:

applying one or more transformation functions to the textual and quantitative data to project one of the one or more data items from a first multi-dimensional representation to a second multi-dimensional representation;

wherein the first multi-dimensional representation comprises at least one more dimension than the second multi-dimensional representation

22. A system as recited in claim 21:

wherein the quantitative data comprises one or more ratings corresponding to the one or more data items;

the one or more ratings generated by the plurality of users.

23. A system as recited in claim 22, wherein the textual data comprises one or more of:

textual responses corresponding to discussion topics, names, addresses and meta data.

24. A system for comparative evaluation of one or more items of data received between a plurality of end users, comprising:

a server computer; and

programming executable on the server computer for;

receiving input from one or more client computers;

said input comprising data relating to one or more rating values associated with said one or more data items and data relating to the plurality of users; and

calculating a confidence interval as a parametric function relating to a distribution of the one or more ratings.

25. A system as recited in claim 24, said programming further configured for:

assigning a location corresponding to one of the one or more data items based on the inputted rating values;

assigning a location corresponding to one of the plurality of users based on the inputted data relating to the plurality of users; and

generating a numerical reputation value based on a spatial distance corresponding to a data item being rated and an end user rating the data item.

26. A system as recited in claim 25, wherein the reputation value is calculated as a function of an end user'"'"'s reputation as a reviewer.

27. A system as recited in claim 24, wherein the confidence interval is calculated as a function of a maximum likelihood estimate corresponding to the one or more data items.

28. A system as recited in claim 27, wherein the confidence interval is calculated as a function of an expectation estimate corresponding to the one or more data items.

29. A system as recited in claim 24, wherein said input comprises quantitative data and textual data relating to the one or more data items, the programming further configured for:

applying one or more transformation functions to the textual and quantitative data to project one of the one or more data items from a first multi-dimensional representation to a second multi-dimensional representation;

wherein the first multi-dimensional representation comprises at least one more dimension than the second multi-dimensional representation.

30. A system as recited in claim 29:

wherein the quantitative data comprises one or more ratings corresponding to the one or more data items;

the one or more ratings generated by the plurality of users.

31. A system as recited in claim 30, wherein the textual data comprises one or more of:

textual responses corresponding to discussion topics, names, addresses and meta data.