User interface methods and systems for selecting and presenting content based on user navigation and selection actions associated with the content

• US 8,086,602 B2
• Filed: 02/24/2011
• Issued: 12/27/2011
• Est. Priority Date: 04/20/2006
• Status: Active Grant

• Current Assignee: Veveo, Inc. (Adeia Inc.)
• Original Assignee: Veveo, Inc. (Adeia Inc.)
• Inventors: Aravamudan, Murali, Ramakrishnan, Kajamalai G., Barve, Rakesh, Venkataraman, Sashikumar, Rajasekharan, Ajit
• Primary Examiner(s): AL HASHEMI, SANA A
• Application Number:
  US13/034,034
• Publication Number:
  US 20110145233A1
• Time in Patent Office: 306 Days
• Field of Search: 707/723, 707/728, 707/748, 707/749, 707/750
• US Class Current: 707/728
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• 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: G06F 3/0481 based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
• CPC Class Codes: G06F 3/0482 Interaction with lists of selectable items, e.g. menus
• CPC Class Codes: G06F 3/04842 Selection of displayed objects or displayed text elements G06F3/0482 takes precedence
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching
• CPC Class Codes: Y10S 707/99934 Query formulation, input preparation, or translation
• CPC Class Codes: Y10S 707/99935 Query augmenting and refining, e.g. inexact access
• CPC Class Codes: Y10S 707/99942 Manipulating data structure, e.g. compression, compaction, compilation
• CPC Class Codes: Y10S 707/99943 Generating database or data structure, e.g. via user interface

Abstract

A user-interface method of selecting and presenting a collection of content items based on user navigation and selection actions associated with the content is provided. The method includes associating a relevance weight on a per user basis with content items to indicate a relative measure of likelihood that the user desires the content item. The method includes receiving a user'"'"'s navigation and selections actions for identifying desired content items, and in response, adjusting the associated relevance weight of the selected content item and group of content items containing the selected item. The method includes, in response to subsequent user input, selecting and presenting a subset of content items and content groups to the user ordered by the adjusted associated relevance weights assigned to the content items and content groups.

Claims

1. A user-interface method of selecting and presenting a collection of items in which the presentation is ordered at least in part based on navigation and selection behavior of a user learned over time, the method comprising:

providing access to a set of items;

associating an initial relevance weight, on a per user basis, with each of a plurality of the items of the set to indicate a relative measure of a likelihood that the item is desired by the user;

receiving input entered by the user for identifying desired items;

in response to the input entered by the user, selecting and presenting a subset of items to the user as a navigable topology of items wherein the items are ordered at least in part by the initial associated relevance weights associated with the items;

receiving input entered by the user for navigating through the topology of the subset of items and for identifying and selecting the desired items;

in response to a selection by the user of an item, presenting said item to the user and adjusting the associated relevance weight of said item;

subsequent to adjusting the associated relevance weight of any of the items, selecting and presenting a subset of items to the user wherein the items are ordered at least in part by the adjusted associated relevance weights assigned to the items such that items with greater associated relevance weights are presented as more relevant items.

3. The method of claim 1, further comprising:

organizing the set of content items into content groups based on the information content of the content items;

associating an initial relevance weight, on a per user basis, with at least one of the content groups to indicate a relative measure of a likelihood that at least one content item of the content group is desired by the user;

in response to the input entered by the user, selecting and presenting a subset of content groups within the navigable topology wherein the content groups are ordered at least in part by the initial associated relevance weights associated with the content groups;

in response to the selection by the user of an item, adjusting the relevance weight associated with the content group containing the selected content item; and

subsequent to adjusting the associated relevance weight of any of the content groups, selecting and presenting a subset of content groups to the user wherein the groups are ordered at least in part by the adjusted associated relevance weights assigned to the content groups such that groups with greater associated relevance weights are presented as more relevant groups.

4. The method of claim 1, further comprising:

determining a context in which the user preformed the selection actions, the context including at least one of geographic location of the user, day, date, and time; and

associating the contexts of the user selection actions with the adjusted relevance weighting of content items learned from the corresponding user selections;

wherein only adjusted relevance weightings associated with the context in which the user enters a subsequent input are used in the selecting and ordering of the content items.

5. The method of claim 1, wherein the adjusted associated relevance weights are decayed as time passes from the act of adjusting the associated relevance weights.

6. The method of claim 1, wherein the adjusted associated relevance weights are decayed based upon the number of user selections occurring after the act of adjusting the associated relevance weights.

2. A user-interface system for selecting and presenting a collection of items in which the presentation is ordered at least in part based on navigation and selection behavior of a user learned over time, the system comprising:

logic for providing access to a set of items;

logic for associating an initial relevance weight, on a per user basis, with each of a plurality of the items of the set to indicate a relative measure of a likelihood that the item is desired by the user;

logic for receiving input entered by the user for identifying desired items;

logic, responsive to the input entered by the user, for selecting and presenting a subset of items to the user as a navigable topology of items wherein the items are ordered at least in part by the initial associated relevance weights associated with the items;

logic for receiving input entered by the user for navigating through the topology of the subset of items and for identifying and selecting the desired items;

logic, responsive to a selection by the user of an item, for presenting said item to the user and for adjusting the associated relevance weight of said item;

logic for selecting and presenting a subset of items to the user subsequent to adjusting the associated relevance weight of any of the items, wherein the items are ordered at least in part by the adjusted associated relevance weights assigned to the items such that items with greater associated relevance weights are presented as more relevant items.

7. The system of claim 2, further comprising:

logic for organizing the set of content items into content groups based on the information content of the content items;

logic for associating an initial relevance weight, on a per user basis, with at least one of the content groups to indicate a relative measure of a likelihood that at least one content item of the content group is desired by the user;

logic, responsive to the input entered by the user, for selecting and presenting a subset of content groups within the navigable topology, wherein the content groups are ordered at least in part by the initial associated relevance weights associated with the content groups;

logic, responsive to the selection by the user of an item, for adjusting the relevance weight associated with the content group containing the selected content item; and

logic for selecting and presenting a subset of content groups to the user subsequent to adjusting the associated relevance weight of any of the content groups, wherein the groups are ordered at least in part by the adjusted associated relevance weights assigned to the content groups such that groups with greater associated relevance weights are presented as more relevant groups.

8. The system of claim 2, further comprising:

logic for determining a context in which the user preformed the selection actions, the context including at least one of geographic location of the user, day, date, and time; and

logic for associating the contexts of the user selection actions with the adjusted relevance weighting of content items learned from the corresponding user selections;

wherein only adjusted relevance weightings associated with the context in which the user enters a subsequent input are used in the selecting and ordering of the content items.

9. The system of claim 2, further comprising logic for decaying the adjusted associated relevance weights as time passes from the act of adjusting the associated relevance weights.

10. The system of claim 2, further comprising logic for decaying the adjusted associated relevance weights based upon the number of user selections occurring after the act of adjusting the associated relevance weights.