Information recommendation methods and electronic devices based on search term self-learning
By calculating the similarity between the first search set and the historical search set, the problem of inaccurate recommendation data in existing technologies is solved, achieving more reasonable and accurate data recommendations and improving user experience.
CN115033784BActive Publication Date: 2026-05-26QINGDAO HAIER TECH +2
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- QINGDAO HAIER TECH
- Filing Date
- 2022-05-27
- Publication Date
- 2026-05-26
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Figure CN115033784B_ABST
Abstract
This application discloses an information recommendation method and electronic device based on search term self-learning, relating to the field of data processing technology. The information recommendation method based on search term self-learning includes: acquiring a search term input by a user; generating a first search set based on the search term and the user's feature data; determining recommendation data information corresponding to the search term based on the first search set and a second search set; wherein the second search set is used to represent search sets that have appeared in the past; and feeding back the recommendation data information to the user. This technical solution not only generates recommendation data information based on the user's search term, but also utilizes the historical search sets of the search term and the user's personal data to jointly generate recommendation data information, thus making the recommended data information more reasonable and accurate.
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