Personalized Search Query Suggestion System
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Solution Overview
Problem
Current electronic search systems do not effectively enhance the shopping experience by providing users with relevant and personalized search query suggestions based on their inputs, leading to potential mismatches between online and in-store inventory and lacking refinement or redirection of search queries.
Innovation Solution
A computer-implemented method and system that processes user search queries by generating and displaying suggested search queries as hyperlinks, utilizing historical and catalog data to determine relevance and importance, allowing users to refine or redirect their searches, thereby improving search results and user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional electronic search systems are used, then basic search functionality is provided, but search results do not effectively enhance shopping experience and lack personalization
Solution Approach 1:
The system analyzes user behavior data including clickstream information, purchase history, and product reviews to generate personalized search query suggestions. This feedback loop enables the system to adapt search results to individual user preferences and shopping patterns, transforming generic search into a personalized shopping assistant that evolves with user interactions
Solution Approach 2:
The system pre-generates multiple suggested search queries based on the initial user input before the user even completes their search. By performing preliminary analysis and generating alternative search paths in advance, the system provides users with refined search options that anticipate their needs, enhancing the shopping experience without requiring additional user effort
2Ease of operation
If search query suggestions are added to enhance user experience, then shopping experience is improved, but system complexity increases
Solution Approach 1:
The system divides the complex task of search enhancement into separate modular components: a suggestion generation module that creates alternative search queries, a selection module that ranks and chooses the best suggestions, and a display module that presents results to users. This segmentation allows each component to be optimized independently and simplifies maintenance and updates
Solution Approach 2:
The system introduces an intermediary suggestion generation layer between the user's initial search query and the final search results. This intermediary component analyzes the original query, generates multiple refined alternatives, and presents them to the user, thereby simplifying the overall system architecture by handling complexity in a dedicated intermediate stage rather than throughout the entire system
3Loss of information
If multiple suggested search queries are generated, then search refinement is improved, but information processing time increases
Solution Approach 1:
The system generates a limited set of the most relevant search query suggestions rather than exhaustively generating all possible alternatives. By focusing on producing a smaller number of high-quality, carefully selected suggestions based on user behavior patterns and product relationships, the system achieves effective search refinement without excessive processing time
Solution Approach 2:
The system dynamically adjusts parameters such as the number of suggestions generated, the depth of analysis applied to each suggestion, and the complexity of behavioral pattern matching based on user preferences and context. This allows the system to optimize the balance between providing comprehensive search refinement and maintaining acceptable processing speeds by changing operational parameters rather than altering the fundamental system architecture
Data Source
AI summary
Systems and methods for receiving a search query and suggesting one or more alternative queries based on the received search query when processing an electronic search are disclosed. The method includes receiving, by a server, an electronic search query from a user device of a user; obtaining one or more search results responsive to the electronic search query; obtaining a suggested electronic search query based on the electronic search query as received; the suggested electronic search query determined based on information representative of an importance of the electronic search query; generating an electronic response including the one or more search results and the suggested electronic search query for display on a display of the user device; and providing the electronic response including the one or more search results and the suggested electronic search query as a hyperlink to the user device for display on the display of the user device.