Personalized Search via Email Opt-Out Tracking
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Solution Overview
Problem
Existing systems for providing personalized search results rely on limited feedback mechanisms, such as user ratings and click-through history, which may not utilize more meaningful and readily obtainable user interaction data.
Innovation Solution
A system and method that uses opt-out information from direct marketing emails to personalize search results by inhibiting the inclusion of specific products or search options in search engines and interfaces, based on user preferences tracked in a database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional feedback mechanisms (user ratings, click-through history) are used for personalization, then the system can provide personalized search results, but the personalization effectiveness is limited due to insufficient user interaction data
Solution Approach 1:
The system performs preliminary data collection by tracking user opt-out actions in direct marketing emails before search queries occur. This advance capture of preference data ensures that when search personalization is needed, comprehensive user preference information is already available in the database, eliminating the need to rely solely on limited post-search feedback mechanisms.
Solution Approach 2:
The patent introduces direct marketing email opt-out tracking as an intermediary data source between the user and the search system. Instead of directly observing search behavior, the system uses opt-out actions as a mediator to infer user preferences and interests, which then inform search result personalization. This intermediary mechanism provides richer preference data than traditional click-through history alone.
2Measurement precision
If more user interaction data is collected to improve personalization, then search result relevance improves, but the system complexity increases
Solution Approach 1:
The system achieves multi-functionality by using a single data collection mechanism (opt-out tracking in direct marketing emails) to serve multiple purposes: building user preference profiles for both direct marketing personalization and search result personalization. This universal approach eliminates the need for separate complex tracking systems for different personalization functions, reducing overall system complexity while improving search relevance.
3Ease of operation
If user opt-out information from direct marketing emails is used to personalize search results, then irrelevant items are excluded improving user experience, but the system requires integration with direct marketing systems increasing complexity
Solution Approach 1:
The patent merges the direct marketing email system and the search system into a unified personalization framework. By combining the opt-out tracking infrastructure of the direct marketing system with the search result generation system, the patent creates a shared preference database that benefits both functions. This merging approach uses existing system components rather than building entirely new integration architecture, reducing the net increase in system complexity.
Data Source
AI summary
Personalized search results are provided to a user by sending to the user a direct marketing email having associated therewith one or more opt-out elements. Information related to the user's interaction with the one or more opt-out elements is maintained in a database. When a search request is thereafter submitted to a search engine by the user, the information related to the user's interaction with the one or more opt-out elements is used to inhibit inclusion within the search results of one or more items. In addition or alternatively, when the user accesses a search interface having a plurality of search options selectable to provide a search request to the search engine, the information related to the user's interaction with the one or more opt-out elements is used to inhibit inclusion within the search interface of one or more of the plurality of user selectable search options.