Aspect-Value Pair Search Relevance System
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Solution Overview
Problem
Users face challenges in searching information resources due to irrelevant search results, as existing search mechanisms return data items that exceed their interests, requiring time-consuming experimentation with additional constraints to narrow down results.
Innovation Solution
A system and method to analyze rules based on aspect-value coverage, generating suggestions for aspect values to classify data items and process queries, determining percentage coverage for queries, domains, aspects, and aspect-value pairs to improve search relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a search mechanism returns search results covering a wide spectrum of data items, then the coverage and completeness of search results is improved, but the relevance to user interests deteriorates
Solution Approach 1:
The patent segments the broad search results by introducing aspect-value pairs that categorize data items into specific dimensions (e.g., color, size, brand). This segmentation allows the system to divide the wide spectrum of results into manageable, relevant segments that match user interests without losing coverage.
Solution Approach 2:
The patent applies local quality by assigning specific aspect-values to different parts of the search results based on their characteristics. Each data item is tagged with relevant aspect-values (e.g., COLOR=red, SIZE=large) that reflect its local properties, enabling targeted filtering and improving relevance while maintaining overall coverage.
2Reliability
If a user adds additional constraints to narrow search results, then the relevance of search results is improved, but the time required for searching increases
Solution Approach 1:
The patent performs preliminary action by pre-computing and storing aspect-value pairs for all data items in the database before search operations. This pre-processing creates an indexed structure that allows the system to quickly apply constraints during search without requiring users to experimentatively add filters, thus reducing search time while maintaining relevance.
Solution Approach 2:
The patent introduces aspect-value pairs as intermediaries between user queries and data items. These aspect-values serve as a mediating layer that translates user interests into structured filters, eliminating the need for users to manually experiment with various constraints and reducing the time required to achieve relevant search results.
3Measurement precision
If rules are manually authored by category managers to identify data items, then the accuracy of item identification is improved, but the complexity and time consumption of rule creation increases
Solution Approach 1:
The patent enables self-service by allowing the system to automatically generate aspect-value pairs from data item attributes without requiring manual rule authoring. The system extracts relevant characteristics from data items and creates corresponding aspect-values autonomously, maintaining accurate identification while eliminating the complexity of manual rule creation and reducing dependency on category manager expertise.
Data Source
AI summary
There are provided methods and systems to identify an item based on data associated with the item. Information is received that is descriptive of an item to be listed on an information storage and retrieval platform. The information is associated with an aspect-value pair, which is an aspect of the item and a value of the aspect. An expression of an interest of a user in the item is received. The expression is associated with the aspect-value pair. In response to the associating of the expression with the aspect-value pair, the item is identified.