Search Result Freshness via Segmented Ranking and Caption Updates
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Solution Overview
Problem
Search engines fail to effectively present recently published documents as top results, leading to a lack of freshness in search results, which may not align with users' interests in recent information.
Innovation Solution
Implementing a system that separates search results into two portions: the first based on overall responsiveness to the query and a second portion featuring only recently published documents, using recent document versions to enhance captions and incorporating publication times to highlight freshness, with a freshness score determining the display of recent results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If search results are ranked solely by responsiveness to the query, then the most relevant results are presented at the top, but recently published documents may not be highlighted sufficiently
Solution Approach 1:
The search results are divided into two distinct portions: the first portion contains results ranked by overall responsiveness to the query, while the second portion contains only recently published documents that are responsive to the query. This segmentation allows the system to present both highly relevant results and fresh results without compromising either aspect.
Solution Approach 2:
Different portions of the search results are given different quality characteristics. The first portion prioritizes relevance quality, while the second portion prioritizes freshness quality. This local differentiation allows each section to optimize for its specific purpose while serving the user's overall information needs.
2Reliability
If old versions of documents are used to determine responsiveness, then historical accuracy is maintained, but the search results do not reflect current document content
Solution Approach 1:
The system performs preliminary actions by determining responsiveness based on old versions of documents before using recent versions for caption generation. This ensures that the responsiveness assessment is based on historically accurate content, while the recent versions are then used to update the presentation without re-assessing responsiveness.
Solution Approach 2:
The system uses recent versions of documents to create updated captions and search result presentations while maintaining the responsiveness determination based on old versions. This copying approach allows the system to present current information without re-evaluating the fundamental relevance of each document.
3Ease of operation
If a single search result list is used, then the interface is simple, but the system cannot simultaneously highlight both relevance and freshness
Solution Approach 1:
The search results interface is segmented into two distinct portions, allowing the system to simultaneously highlight both relevance and freshness. The first portion maintains traditional relevance-based ranking for overall simplicity, while the second portion adds freshness highlighting capability for users interested in recent information.
Data Source
AI summary
Methods, systems, and computer-storage media for improving the freshness, or the apparent freshness, of search results are described. In an embodiment, the first portion of search results presented on a search results page are based on responsiveness to the search query and a second portion of results describe only recently published documents that are responsive to the search query. In an embodiment, a more recent version of the document, which is not directly used to determine responsiveness, is used to build the caption for a search result. Another way to make search results appear fresh is to include a publication time within the search result caption. In one embodiment, the publication time is generated by calculating a point in time between when a document is first added to a search index and the previous time the search engine visited the site where the document was found.