Search Result Ranking Using Web Notebook Content
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Solution Overview
Problem
Current search engines do not effectively utilize user-created web notebooks to enhance the ranking and relevance of search results, missing an opportunity to provide more personalized and accurate search outcomes based on user-generated content.
Innovation Solution
Integrate the content from web notebooks, including titles, headings, clipped content, and user annotations, into the search result ranking algorithm, allowing for increased ranking of relevant web pages and generation of snippet information, which can be triggered by user-specific search requests and instructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If search results are ranked using traditional algorithms (backlinks, keyword matching), then the ranking process is simple and fast, but the relevance and personalization of search results are insufficient
Solution Approach 1:
The system pre-processes and stores notebook content (titles, headings, clipped content, annotations) in an accessible format before search queries are submitted. This preliminary organization of user-generated content allows the ranking algorithm to quickly retrieve and apply relevant notebook data without adding significant processing time during actual search operations, thereby improving relevance while maintaining operational efficiency
Solution Approach 2:
The patent introduces web notebooks as an intermediary layer between traditional search algorithms and search results. Notebooks contain user-curated content from multiple web pages organized by the user, serving as a mediator that enriches search results with personalized, pre-validated information without requiring the search engine to directly analyze all underlying source pages, thus improving relevance while managing complexity
2Loss of information
If snippet information is generated from web page content, then users can quickly assess page relevance, but the system cannot leverage user-curated contextual information from notebooks
Solution Approach 1:
The system merges traditional web page content with user-generated notebook content (titles, headings, clipped content, annotations) to create enriched snippet information. By combining these information sources, the system preserves all relevant contextual data while providing users with more comprehensive and personalized search result summaries that reflect both original content and user curation
Data Source
AI summary
A method of presenting computer-generated search result information can include receiving a search request from a client computer; identifying a plurality of search results responsive to the search request; ranking the plurality of search results using content in one or more web notebooks; and providing the ranked plurality of search results for presentation in the client computer. Using the content can include determining whether at least one of a title, a heading, clipped content, metadata or a user-annotation in at least one web notebook relates to the search request and, if so, increasing a ranking of at least one search result referenced by the at least one web notebook.