-
公开(公告)号：GB2352542A
公开(公告)日：2001-01-31
申请号：GB0006497
申请日：2000-03-20
Applicant: IBM
Inventor： BREZIN JONATHON PAUL , KELLOGG WENDY ANNE , LAFF MARK RICHARD , YU PHILIP SHI-LUNG
Abstract: Information-retrieval is optimised by modifying a query using information based on users communication relationships. Users interactions and relationships with each other are tracked by a 'relationship analyser' RA that queries information sources IS, such as e-mail logs, organisation charts, calendar entries, phone logs, etc. A data structure is created for each user reflecting the intensity of communication relationship with other users, and modified over time. A relationship group is defined based on the data structure and preference or importance ratings for each type of communication relationship that includes each user's group of highest-priority other users. A derived relationship group may also be defined based on high-priority users of a user's highest-intensity relationships. The RA then acts as a proxy for user queries, and may modify queries and create persistent data stores or store the results of queries or sub-queries in order to improve system performance: for example, shortening retrieval time, prioritising information, propagating updated information among closely related users. A way to derive a relationship group based on subject lines of communications, or other text-based content of communication-related information, is also described.
-
公开(公告)号：GB2352542B
公开(公告)日：2003-11-19
申请号：GB0006497
申请日：2000-03-20
Applicant: IBM
Inventor： BREZIN JONATHON PAUL , KELLOGG WENDY ANNE , LAFF MARK RICHARD , YU PHILIP SHI-LUNG
Abstract: A method and apparatus for optimizing information-retrieval related system performance based on users' communication relationships. Users' interactions and relationships with each other are tracked by a 'relationship analyzer' that queries multiple heterogeneous information sources, such as e-mail logs, organization charts, calendar entries, phone logs, etc. A data structure is created for each user reflecting the intensity of communication relationship with other users, and modified over time as the data in the information sources change. A relationship group is defined based on the data structure and preference or importance ratings for each type of communication relationship that includes each user's group of highest-priority other users. A derived relationship group may also be defined based on high-priority users of a user's highest-intensity relationships. The relationship analyzer then acts as a proxy for user queries, and may modify queries and create persistent data stores or store the results of queries or sub-queries in order to improve system performance in a variety of ways: for example, to shorten retrieval time, to resolve missing or ambiguous results, to prioritize information for downloading to limited-resource computing devices, or to propagate updated information among closely related users. A way to derive a relationship group based on subject lines of communications, or other text-based content of communication-related information, is also described.
-
Search Results
2
records
(took 0.017 seconds)
