Programmable Search Engine Context Files for Spam Filtering
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Solution Overview
Problem
Current search engines lack the ability to incorporate external expertise from vertical content sites during the search process, leading to irrelevant results due to their inability to capture user intent and information needs accurately, as they rely on static user preferences and predefined query reformulation methods.
Innovation Solution
A programmable search engine system that utilizes context files to process user queries, allowing vertical content providers to control pre-processing and post-processing operations, including query modification, search engine parameters, and result filtering, to enhance search results with their expertise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If search engines use static user preferences and predefined query reformulation methods, then the search engine operates as a fixed black box with simple architecture, but the ability to capture user intent and provide relevant results deteriorates
Solution Approach 1:
The search engine transitions from a static black box to a dynamic system where context files can be dynamically loaded, modified, and applied during query processing. The system can adapt its behavior based on user interactions, allowing the architecture to evolve from fixed to flexible while maintaining operational simplicity for users.
Solution Approach 2:
Context files serve as an intermediary layer between the user's query and the search engine's processing algorithms. These context files mediate the interaction by capturing user intent and circumstances, allowing the search engine to respond appropriately without requiring complex internal modifications to its core architecture.
2Device complexity
If search engines rely on query terms alone for processing, then the system complexity remains low, but the ability to capture user intent and provide tailored results deteriorates
Solution Approach 1:
The search processing system is segmented into distinct components: query processing, context file retrieval, context application, and result generation. This segmentation allows the system to handle complexity in modular fashion, with each component performing a specific function while maintaining overall versatility in capturing user intent.
Solution Approach 2:
The system adds a new dimension to query processing by incorporating context files that capture user circumstances and intent. This dimensional expansion moves from processing queries in isolation to processing queries within a contextual framework, significantly enhancing adaptability without proportionally increasing processing complexity.
3Ease of manufacture
If search engines use predefined methods of query reformulation, then the implementation is simple and straightforward, but the relevance of search results to individual users deteriorates
Solution Approach 1:
The system enables users to define their own context files that capture their specific circumstances and intent. Users can create and maintain their own context information, allowing the system to serve their individual needs reliably without requiring complex centralized processing. This self-service approach maintains implementation simplicity while significantly improving result relevance.
4Stability of the object's composition
If search engines operate with fixed algorithms, then the system maintains stable and predictable operation, but the ability to adapt to different user needs and circumstances deteriorates
Solution Approach 1:
The system performs preliminary action by retrieving and processing context files before executing the search query. This preliminary step captures user intent and circumstances in advance, allowing the stable search algorithm to operate with enhanced adaptability. The context files are prepared and applied before the main search processing, maintaining algorithm stability while improving adaptability to user needs.
Data Source
AI summary
A programmable search engine system is programmable by a variety of different entities, such as client devices and vertical content sites to customize search results for users. Context files store instructions for controlling the operations of the programmable search engine. The context files are processed by various context processors, which use the instructions therein to provide various pre-processing, post-processing, and search engine control operations. Spam related and biased contexts and search results are identified using offline and query time processing stages, and the context files from vertical content providers associated with such spam and biased context and results are excluded from processing on direct user queries.