E-book Reader Search Intent Weighting
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Solution Overview
Problem
Existing data search solutions in e-book readers lack accuracy due to reliance on simple word segmentation rules and fixed indexing methods, which fail to understand user intent and result in inefficient search processes.
Innovation Solution
A method and apparatus for searching data in e-book readers that identify user search intent, determine weights for multiple indexes based on intent, and provide search results weighted by these indexes to improve accuracy and relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If simple word segmentation rules and fixed indexing methods are used, then the search process is simple and fast, but the search accuracy is insufficient
Solution Approach 1:
The patent segments the search system into multiple independent indexing modules (full-text index, character index, word index, phrase index) instead of using a single fixed index. Each index handles specific search scenarios, allowing the system to maintain complexity management while improving search accuracy through specialized indexing for different query types.
Solution Approach 2:
The patent implements dynamic weight assignment to different indexes based on the identified search intent. The system adjusts the importance of each index (full-text, character, word, phrase) according to the user's search purpose, enabling the system to adapt to different search scenarios and improve accuracy without requiring a completely complex static system.
2Measurement precision
If multiple indexes with different weights are used to improve search accuracy, then search results become more relevant, but the system complexity increases
Solution Approach 1:
The patent applies local quality by assigning different weights to different indexes based on the specific search intent. Instead of uniformly treating all indexes equally, the system locally optimizes the weight assignment for each index type (full-text, character, word, phrase) according to the user's search purpose, improving relevance while managing complexity through targeted optimization.
Solution Approach 2:
The patent changes the parameter of index weight assignment dynamically based on search intent classification. The system adjusts weight parameters for different indexes according to the identified user intent (e.g., exact match, partial match, character-level search), enabling flexible adaptation to different search scenarios without requiring a completely complex reconfiguration of the indexing system.
3Measurement precision
If the system identifies user intent and dynamically weights indexes, then search relevance improves, but the processing time increases
Solution Approach 1:
The patent performs preliminary action by pre-classifying search intents into predefined categories (exact match, partial match, character-level search, etc.) before executing the search. This pre-intent identification allows the system to quickly determine which indexes and weight combinations to use, avoiding time-consuming real-time analysis while still achieving high search relevance through intent-aware indexing.
Data Source
AI summary
Provided are a method and an apparatus for searching data in an e-book reader, a device, and a medium. The method includes: in response to a search request, identifying a search intent of a user based on the search request; determining, based on the search intent, a first weight of a first index and a second weight of a second index in a plurality of indexes of a database of the e-book reader; determining, by using the first index and the second index, a first sequence of search resultsand a second sequence of search resultsthat match the search request; and providing at least a portion of the search results in the first sequence of search resultsand the second sequence of search resultsbased on the first weight and the second weight.