Synonym Rule Evaluation via Click Feedback
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Solution Overview
Problem
Existing search engine technologies lack effective methods to evaluate and improve the quality of synonyms used in revising search queries, leading to unhelpful search results and inefficient use of synonym rules.
Innovation Solution
The implementation of click and skip evaluation methods to assess the quality of synonym rules by analyzing user interactions with search results, incrementing crucial click and skip counts based on user selections, and assigning scores to determine the relevance and confidence of synonym rules, allowing for their adjustment or removal from the search system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If synonym rules are used to generate revised search queries, then the coverage and versatility of search results are improved, but the quality and accuracy of search results deteriorate due to inclusion of unhelpful synonyms
Solution Approach 1:
The system implements feedback mechanisms by tracking user interactions (clicks and skips) with search results containing synonyms. This feedback is used to evaluate synonym quality and adjust synonym rules accordingly, allowing the system to learn from user behavior and improve result quality while maintaining versatility
Solution Approach 2:
The system changes parameters of synonym rules based on evaluation metrics. By adjusting the confidence scores and applicability thresholds of synonym rules based on click and skip data, the system dynamically modifies which synonyms are applied in search queries, balancing coverage and quality
2Adaptability or versatility
If all synonym rules are applied to revised search queries, then the adaptability of the search system is improved, but the complexity of evaluating and managing synonym rules increases
Solution Approach 1:
The system discards low-quality synonym rules by removing them from active synonym sets based on evaluation metrics. Poor-performing synonyms are discarded while high-performing ones are recovered and retained, simplifying the synonym rule set while maintaining adaptability
Solution Approach 2:
The system segments synonym rules into different quality tiers or confidence levels. By categorizing synonyms based on their evaluation scores, the system can selectively apply different synonym sets to different queries, reducing overall complexity while preserving flexibility
3Measurement precision
If user interaction data is collected and analyzed to evaluate synonym rules, then the accuracy of synonym quality assessment is improved, but the time and computational resources required for evaluation increase
Solution Approach 1:
The system performs partial evaluation by focusing on specific metrics (clicks and skips) rather than analyzing all possible user interactions. This selective approach provides sufficient accuracy for synonym evaluation without requiring exhaustive data collection and analysis
Solution Approach 2:
The system performs preliminary filtering of synonym candidates before full evaluation. By pre-identifying promising synonyms based on initial metrics and then conducting detailed evaluation only on those candidates, the system reduces overall evaluation time while maintaining assessment accuracy
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for click or skip evaluation of synonyms. In one aspect, a method includes accessing query log data that identifies, for an initial search query, a revised search query that includes one or more synonyms, and search results provided to a user. An indication that the user has selected a particular search result is received. A determination is made that the particular search result includes a particular synonym for a query term that occurs in the revised search query, and not (i) the query term or (ii) any other synonym for the query term that occurs in the revised search query. A crucial click count is assigned to a synonym rule that corresponds to the particular synonym.