Context-Aware Guide Pane for Persistent Information Retrieval
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Solution Overview
Problem
Conventional search engines and browsers face challenges in providing efficient information access and relevant advertisements due to the need for query composition, limited advertisement presentation, and lack of context-based analysis, leading to inefficient information foraging and irrelevant ad placement.
Innovation Solution
A system with a reading pane and a guide pane that analyzes the currently visible content to derive dynamic user interests, providing a persistent context-aware guide that offers structured overviews and navigation controls, incorporating relevant information and advertisements, to facilitate focused information retrieval and ad placement based on user interest analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional search engines require users to compose queries, then users can access information through structured searching, but users experience difficulty and time consumption in information foraging
Solution Approach 1:
The system performs preliminary analysis of the currently visible web page content to automatically generate search queries and related information targets before the user even submits a query. By pre-computing relevant information based on the page the user is currently viewing, the system eliminates the need for users to manually compose queries, directly resolving the contradiction between search precision and time consumption.
2Quantity of substance
If conventional search engines present advertisements on search pages, then advertisers gain visibility, but advertisements disappear when users click on results and lose persistent presence
Solution Approach 1:
The system continuously monitors and tracks the user's current page and navigation history, using this feedback to dynamically update and maintain advertisement relevance. By implementing persistent tracking of user information foraging activities across multiple pages and time, the system ensures advertisements remain visible and contextually relevant throughout the user's browsing session, resolving the contradiction between advertisement quantity and persistence.
3Productivity
If conventional browsers use highlighted text as search strings, then users can quickly initiate searches, but the system lacks content analysis and returns generic ranked pages without context-aware results
Solution Approach 1:
The system performs preliminary semantic analysis of the highlighted text within the context of the entire web page content before generating search results. By pre-computing a structured overview of related information and analyzing the contextual meaning of the highlighted portion, the system maintains fast search initiation while preserving and utilizing contextual information to generate more relevant results.
4Quantity of substance
If conventional advertising systems use keyword auctions for ad placement, then advertisers can bid for visibility, but advertisements are not contextually relevant to the user's current information needs
Solution Approach 1:
The system changes the parameters for advertisement selection from purely bid-based keyword auctions to a context-aware model that incorporates analysis of the user's current web page content, navigation history, and information foraging behavior. By dynamically adjusting ad placement parameters based on contextual relevance rather than just auction bids, the system maintains advertisement visibility while significantly improving contextual relevance to user needs.
Data Source
AI summary
Techniques are described that provide a reading pane for reading one or more content portions of a work and a guide pane that displays a structured overview of additional information from the corpus that is focused by an analysis of information from the currently-visible content portion of the work. The contents of the currently-visible content portion displayed within the reading page are used to derive dynamic representations of the user's immediate interests. At the user's request, a structured persistent context-aware guide is computed and displayed. The persistent context-aware guide provides a framework for accessing other parts of the corpus having the most-related information. The elements in the persistent context-aware guide are other content portions or other organizations such as sections, chapters, or articles in the corpus. The persistent context-aware guide may also incorporate additional closely-related information elements from outside the corpus including advertisements. Advertisements for information on the topics of immediate interest to the user can be incorporated within the structured, context-aware guide so that the reader can purchase them and review that information in the context of the current session. The guide pane and the reading pane support navigation controls so that the user can go to new or previous sub-portions of the content portion, new or previous content portions and/or new or previous persistent context-aware guides.