Search Term Rewriting via Historical Data Matching

The patent implements feedback mechanisms by analyzing user behavior data (click-through rates, dwell time, conversion rates) from search results and using this feedback to iteratively optimize the rewriting rules. The system continuously learns from user interactions to improve both coverage and accuracy of search term rewriting, resolving the contradiction between broader coverage and maintained accuracy.

The patent dynamically adjusts rewriting parameters such as rewriting probability, rule priority weights, and threshold values based on contextual factors including query type, user profile, and historical performance data. This allows the system to adapt the degree and nature of rewriting to maintain accuracy while maximizing coverage across different search scenarios.

The patent introduces intermediary components including a rule engine that mediates between simple rewriting rules and complex decision-making, a context analyzer that processes query characteristics, and a performance evaluator that assesses rewriting quality. These intermediaries enable accurate rewriting without requiring the entire system to be complex, modularizing the complexity management.

The patent segments the rewriting system into independent modular components: rule generation module, rule execution module, context analysis module, and performance evaluation module. Each module handles specific aspects of the rewriting process, allowing simple rules to be combined with sophisticated analysis through clear separation of concerns, maintaining manageability while achieving accuracy.

The patent applies partial rewriting by selectively rewriting only portions of search terms that benefit from transformation, rather than applying extensive rewriting to all terms. The system uses rewriting probability thresholds and contextual filters to determine when rewriting should be applied, avoiding excessive rewriting that would increase errors while still achieving adequate coverage through targeted transformations.

The patent implements validation and verification mechanisms before rewriting is applied, including context checks, similarity thresholds, and confidence score calculations. These preliminary checks cushion against potential errors by identifying cases where rewriting should not be applied, preventing error propagation while maintaining coverage through careful selection of rewriting candidates.