Item Recommendation System with Variant Title Modification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing digital item recommendation systems often fail to provide relevant item recommendations that include searched variant information, leading to customer frustration and lost sales, as customers may not find the desired variant until clicking on the item and parsing additional information.
Innovation Solution
A system and method for automatically generating item recommendations that include relevant variants by processing search requests with item types and requested variants, obtaining items from a database, determining model variants, modifying item titles to include these variants, and presenting the recommendations via a user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If item recommendations are generated using default random selection from item data, then the system complexity is low and processing speed is fast, but the relevance of recommendations to customer search intent deteriorates
Solution Approach 1:
The system performs preliminary action by determining and embedding the requested variant information into item titles before generating recommendations. The processor identifies the requested variant from the search request, determines corresponding model variants for retrieved items, and modifies titles to include these variants beforehand, so customers see relevant variant information immediately without needing to click through to product pages.
2Reliability
If item recommendations include detailed variant information in titles, then customer satisfaction and sales conversion improve, but the processing complexity and time required for recommendation generation increase
Solution Approach 1:
The system applies local quality by selectively modifying only the title portion of item recommendations to include variant information, rather than restructuring the entire recommendation system. The processor targets specifically the title field for modification based on the requested variant, leaving other recommendation components unchanged, thus improving relevance without proportionally increasing overall system complexity.
3Device complexity
If customers must click on recommended items to view variant details, then the information presentation is simple, but customer frustration increases and sales are lost
Solution Approach 1:
The system performs preliminary action by pre-populating item titles with the requested variant information before presenting recommendations to customers. This allows customers to see whether recommended items match their variant requirements immediately on the recommendation page, eliminating the need to click through to product pages to check variant availability, thus reducing customer search time and preventing lost sales.
Data Source
AI summary
This application relates to apparatus and methods for providing recommended items based on a search request. In some examples, a computing device determines a plurality of items for recommendation based on an item type in the search request from a user. The computing device then determines a model variant from a plurality of variants for each item based on a requested variant in the search request. The computing device generates item recommendations by modifying an item title for each of the plurality of items to indicate the corresponding model variant. The computing device then presents the item recommendations for the user's perusal.