USER INTERFACE METHODS AND SYSTEMS FOR SELECTING AND PRESENTING CONTENT BASED ON RELATIONSHIPS BETWEEN THE USER AND OTHER MEMBERS OF AN ORGANIZATION

• US 20070288457A1
• Filed: 04/20/2007
• Published: 12/13/2007
• Est. Priority Date: 04/20/2006
• Status: Active Grant

• Current Assignee: Veveo, Inc. (Adeia Inc.)
• Original Assignee: Veveo, Inc. (Adeia Inc.)
• Inventors: Aravamudan, Murali, Barve, Rakesh, Venkataraman, Sashikumar, Rajasekharan, Ajit, Ramakrishnan, Kajamalai
• Granted Patent: US 7,539,676 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• 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 in which the presentation is ordered at least in part based on navigation and selection behavior of the user learned over time is presented. The method includes providing a set of content items each with an associated relevance weight and an associated actual person. The method further includes organizing the set of content items into groups of content based in part on actual groups of which the associated actual person is a member. The method further includes receiving the users navigation and selection actions and adjusting the relevance weights of selected content items. In response to subsequent user input, the method calls for 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 content items in which the presentation is ordered at least in part based on navigation and selection behavior of the user learned over time, the method comprising

providing a content system including a set of content items, each content item having an associated relevance weight on a per user basis to indicate a relative measure of a likelihood that the content item is desired by the user, and each content item being associated with an actual person;

organizing the set of content items into groups of content items, each group of content items having an associated relevance weight on a per user basis to indicate a relative measure of a likelihood that the group of content items is desired by the user, and wherein a content item is placed into a group of content items by the content system based in part on actual groups of which the associated actual person is a member;

providing initial associated relevance weights for the content items, wherein the initial associated relevance weight is based in part on the organizational relationship of the user to other actual persons;

providing initial associated relevance weights for the groups of content items, wherein the initial associated relevance weight assigned by the system is based in part on the probability of the user wanting to contact a member of the actual group associated with the group of content items;

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

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

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

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

in response to receiving subsequent input entered by the user, selecting and presenting a subset of content items and content groups to the user wherein the content items and content groups are ordered at least in part by the adjusted associated relevance weights assigned to the content items and content groups such that content items with greater associated relevance weights are presented as more relevant content items within a content group and groups of content items with greater associated relevance weights are presented as more relevant groups of content items.

2. The method of claim 1, further comprising:

determining a context in which the user performs 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 the 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.

3. The method of claim 1, wherein at least one of the input and the subsequent input are entered by the user on an input constrained device.

4. The method of claim 3, wherein the input constrained device has a plurality of overloaded keys, each of the overloaded keys representing two or more characters.

5. The method of claim 1, wherein at least one of the input and the subsequent input are entered by the user on at least one of a telephone, a PDA, a computer, and a remote control.

6. The method of claim 1, further comprising presenting the subset of content items on a display constrained device.

7. The method of claim 6, wherein the display constrained device is at least one of a telephone, a PDA, and a remote control.

8. 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.

9. 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.

10. The method of claim 1, further comprising a plurality input and subsequent input entered by the user.

11. The method of claim 1, wherein the organizational relationship is a hierarchy containing superiors, peers, and subordinates.

12. The method of claim 1, wherein the organizational relationship is a set of non hierarchical groups.