System and methods for constructing personalized context-sensitive portal pages or views by analyzing patterns of users' information access activities

• US 20060004705A1
• Filed: 07/27/2005
• Published: 01/05/2006
• Est. Priority Date: 04/04/2002
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Anderson, Corin Ross, Horvitz, Eric
• Application Number:
  US11/191,119
• Publication Number:
  US 20060004705A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/954 Navigation, e.g. using categorised browsing
• CPC Class Codes: G06Q 30/0256 User search
• CPC Class Codes: Y10S 707/99948 Application of database or data structure, e.g. distributed, multimedia, or image

Abstract

The present invention relates to a system and methodology to assist users with data access activities and that includes such activities as routine web browsing and/or data access applications. A coalesced display or montage of aggregated information is provided that is focused from a plurality of sources to achieve substantially one-button access to user'"'"'s desired web or data source information/destinations in order to mitigate efforts in retrieving and viewing such information. Past web or other type data access patterns can be mined to predict future browsing sites or desired access locations. A system is provided that builds personalized web portals for associated users based on models mined from past data access patterns. The portals can provide links to web resources as well as embed content from distal (remote) pages or sites producing a montage of web or other type data content. Automated topic classification is employed to create multiple topic-centric views that can be invoked by a user.

Claims

1. A method for building a montage, comprising:

displaying information content in accordance with topic areas;

automatically controlling the level of a topic ontology associated with the topic areas;

determining how to at least one of segment and display topic pages relating to the topic areas; and

navigating to other levels in the topic ontology as a function of at least one of a user'"'"'s interest and automatically controlling the breakdown of topics into subtopics.

2. The method of claim 1, further comprising at least one of:

providing display pages with finer-grained topics; and

changing the topics to higher-level topic categories based on the amount of mined material over a determined level of user interest.

3. The method of claim 2, further comprising determining an expected utility within the higher-level topic.

4. The method of claim 1, further comprising at least one of:

providing a tree of topics and building separate pages for different higher-level topics;

providing lower-level topics on a display page associated with the higher-level topics; and

computing at least one of the higher-level topics and the lower-level topics with an automated classifier.