Personalized search system for enhancing privacy protection based on federated learning
A privacy protection and search system technology, applied in the field of personalized search systems, can solve problems such as training personalized search models, and achieve the effect of protecting privacy and solving performance bottlenecks
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[0025] Hereinafter is a preferred embodiment of the present invention and the technical solutions of the present invention will be further described in connection with the accompanying drawings, but the present invention is not limited thereto.
[0026] In a personalized search, we first analyze the user's historical query log to build user interest portraits, then personalized sorting models Based on user portraits to generate an accurate search result list. This process mainly involves the original search log, user interest portrait, personalized sort model, and some shared auxiliary data (such as word frequency, word vector, etc.). We carefully analyze the contents and user privacy of each part of the data, as follows:
[0027] The user's original search log, including all queries, browsing documents, and click behavior of the user entered during the entire query. The query log is the most privacy data in a personalized search. The research shows that some users' information, s...
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