US 6775664

Here's a concise summary of US patent 6775664:

US Patent 6775664

• Title: Information filter system and method for integrated content-based and collaborative/adaptive feedback queries
• Assignee: I/P Engine Inc (Original Assignee: Lycos Inc)
• Inventors: Andrew K. Lang, Donald M. Kosak
• Filing Date: October 22, 2001 (Application number US10/045,198)
• Issue Date: August 10, 2004
• Abstract: A search engine system is provided for a portal site on the internet. The search engine system employs a regular search engine to make one-shot or demand searches for information entities which provide at least threshold matches to user queries. The search engine system also employs a collaborative/content-based filter to make continuing searches for information entities which match existing wire queries and are ranked and stored over time in user-accessible, system wires corresponding to the respective queries. A user feedback system provides collaborative feedback data for integration with content profile data in the operation of the collaborative/content-based filter. A query processor determines whether a demand search or a wire search is made for an input query.

Plain-Language Overview of Independent Claims:

• Claim 1: This claim describes an information filter apparatus for a computer system that receives data from a network. It includes an extraction component to identify "raw informons" (information entities) and a filter to process them into "proposed informons" for a user. The filter is adaptive and combines content-based filtering (using an adaptive content profile) and collaborative filtering (using an adaptive collaboration profile). A communication component sends the proposed informons to the user, and an adaptation component updates the content and collaboration profiles based on user feedback to minimize prediction errors. A storage component holds these profiles.
• Claim 9: This claim outlines a method for filtering information in a computer system. It involves providing a dynamic "informon characterization" that includes adaptive content and collaboration profiles. Raw informons are adaptively filtered using this characterization to produce proposed informons. These are presented to a user, and their feedback is received. The method then updates the adaptive content and/or collaboration profiles based on this feedback, and subsequently updates the dynamic informon characterization.
• Claim 13: This claim details an information filtering method that segments users into multiple "member clients," each with a unique profile, and groups these clients into "communities" with shared attributes. It predicts community and member client profiles. Raw informons from a data stream are extracted, and proposed informons are selected based on their correlation with community and member client attributes. User feedback on these proposed informons is used to update the prediction criteria for both community and member client profiles.
• Claim 14: This claim builds on the method of claim 13 by specifying that selecting proposed informons involves filtering raw informons using: 1) an adaptive content filter based on informon content, 2) an adaptive collaboration filter based on common client attributes for the community, and 3) an adaptive member client filter based on the unique member client profile.
• Claim 20: This claim describes an information processing system that receives a data stream from a computer network. It has an integrated filter structure with collaborative/adaptive-content-based filtering for creating ongoing, long-term responses to user queries. Additionally, it has a search engine structure for providing immediate, short-term "demand" responses. A component within the system directs user queries to either the integrated filter structure or the search engine structure for responses.
• Claim 24: This claim focuses on a search engine system for a network portal site. It includes a search engine for "demand searches" (one-time searches) based on content. It also has a collaborative/content-based filter for "continuing searches" that match "wire queries" (ongoing user queries), with results ranked and stored in "wires." A user feedback system integrates collaborative feedback with content profile data for the collaborative/content-based filter. A query processor decides whether an input query triggers a demand search or a wire search.
• Claim 25: This claim is similar to Claim 24 but emphasizes the provision of a "content-based filtering system" for receiving and filtering informons for relevancy to either a "wire" or "demand" query. It includes a feedback system for other users' data and a control system to manage the filtering operation for either a wire or demand response. The filtering system combines feedback data with content profile data to determine relevancy for at least a wire response.
• Claim 29: This claim describes an information processing system comprising a query processor that receives user queries and determines if a "wire" exists for each. If a wire exists, the query is routed to a collaborative/content-based filter that receives informons from a continuously scanning "spider system." A feedback processor provides collaborative feedback data for integrating with content-based data in the filter. If no wire exists, the query goes to a regular search engine.

CAFC 2026 Dockets:

The provided search results for CAFC 2026 dockets offer general information about the Federal Circuit's scheduled cases and how to access case records. However, they do not specifically list any active litigation for US patent 6775664 within the 2026 dockets. While the patent's Google Patents page indicates "Family has litigation" and lists cases in various district courts and the Court of Appeals for the Federal Circuit, these appear to be from earlier years (e.g., 2011, 2013, 2014) and not specifically within the 2026 timeframe for which dockets were searched. Therefore, based on the specific search performed, there is no authoritative information found regarding active CAFC 2026 dockets for US6775664.