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Personalized recommendation system

A recommendation system and behavior technology, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve the problems of finding and Internet users, and achieve the effect of improving effectiveness and enhancing user experience.

Inactive Publication Date: 2018-03-30
四川朗骏文化传播有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the same time, massive amounts of user and item data are continuously generated on the Internet every day, which makes it difficult or even impossible for Internet users to quickly find the unknown information they need or are interested in.

Method used

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  • Personalized recommendation system

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Embodiment Construction

[0018] The personalized recommendation system provided in this embodiment includes an information acquisition unit, an information storage unit, an information processing unit, an information feedback unit and a recommendation update unit.

[0019] The information acquisition unit is used to obtain user usage behavior data, the usage behavior data includes user information and feature words, user information includes user basic information, user interests and user status, and feature words refer to marked features in the usage behavior data The user interest refers to the user's hobbies and hobbies marked according to the historical behavior data, specifically refers to the semantics represented by several characteristic words with a high frequency of occurrence in the user's historical usage behavior data, and the user interest will be based on The more usage behavior data obtained, the closer to the user's real preferences.

[0020] The information storage unit is used to st...

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Abstract

The invention discloses a personalized recommendation system. The system includes an information acquisition unit, an information storage unit, an information processing unit, an information feeding-back unit and a recommendation updating unit. According to the system, importance of each already used article in influencing current preference of a user can be more accurately analyzed through introducing a forgetting process of a user on interest of historical use behaviors, thus dynamic characteristics of user preference changes can be effectively captured, the dynamic changes of the preferencecan be applied to personalized recommendation, and effectiveness of a recommendation result can be improved.

Description

technical field [0001] The invention belongs to the field of information recommendation, in particular to a personalized recommendation system. Background technique [0002] With the rapid development of the Internet, people's daily life is more and more closely connected with the Internet, such as listening to music, watching movies, shopping, reading, chatting and so on. At the same time, massive amounts of user and item data are continuously generated on the Internet every day, which makes it difficult or even impossible for Internet users to quickly find the unknown information they need or are interested in. As a result, personalized recommendation technology came into being, and it continues to introduce new ones. Personalized recommendation technology aims to model the user's interest preferences according to the user's own characteristics, and then recommend information that meets the user's personalized preferences. In order to improve the effectiveness of existin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 余璐珈
Owner 四川朗骏文化传播有限公司
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