Dynamic Search Suggestion Ranking via News and Behavior Analysis
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Solution Overview
Problem
Current search engines fail to provide timely and relevant search query suggestions that reflect recent events and user behavior, leading to a lack of dynamic and contextually appropriate suggestions for users.
Innovation Solution
A method that selects prior queries based on their frequency, relevance, and user behavior, ranking them to provide fresh related search suggestions that include news, image, video, and blog results, ensuring high relevance by considering click-through rates and query refinements, and dynamically updating suggestions based on recent user queries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If search engines use traditional static query suggestion methods, then system complexity is low, but the relevance and timeliness of suggestions to recent events deteriorates
Solution Approach 1:
The patent implements dynamic query suggestion by continuously monitoring news streams and user behavior data in real-time. The system updates suggestion rankings based on recency of events, click-through rates, and query refinement patterns, transforming static suggestions into dynamically adapting recommendations that reflect current information landscapes
Solution Approach 2:
The system performs preliminary analysis of news articles and user behavior data to identify emerging topics and trends before they become mainstream search queries. By pre-processing and indexing potential query suggestions based on anticipated user interest, the system prepares relevant suggestions in advance, improving response timeliness without increasing operational complexity
2Loss of time
If search engines analyze extensive user behavior data and news streams to provide timely suggestions, then the timeliness and relevance of suggestions improves, but the processing time and computational resources increases
Solution Approach 1:
The system dynamically adjusts analysis parameters such as time windows for news monitoring, thresholds for query frequency changes, and weighting factors for different data sources based on current system load and query patterns. This allows the system to maintain timely suggestions while adapting computational intensity to available resources
Solution Approach 2:
The patent extracts and prioritizes only the most critical features from news articles and user behavior data, such as key entities, emerging trends, and high-impact queries. By focusing analysis on essential elements rather than processing complete datasets, the system achieves timeliness with reduced computational overhead
3Adaptability or versatility
If search engines provide comprehensive query suggestions including multiple data sources, then the versatility and coverage of suggestions improves, but the difficulty of filtering and ranking relevant queries increases
Solution Approach 1:
The system implements feedback loops where user interactions with suggestions (clicks, refinements, dwell time) are continuously monitored and used to adjust ranking algorithms. This feedback mechanism automatically learns which data sources and query types are most valuable to users, simplifying the ranking process while maintaining comprehensive coverage across multiple sources
Data Source
AI summary
Methods, systems, apparatus, including computer program products, for providing fresh related search suggestions in response to a user submitted query are presented. In one implementation, a plurality of prior queries are selected wherein each of the prior queries was submitted as a search query a number of times during a recent time period and satisfies a criterion. For each of the prior queries, the prior is selected as a candidate query based on one or more of: a determination that search results responsive to the prior query include a number of news results that satisfy a second threshold, and relevance data indicative of user behavior relative to the search results responsive to the prior query. In response to receiving a user query, one or more candidate queries are selected that match the user query.