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Entities recommend methods, devices, computer equipment, and computer-readable storage media

A recommendation method and computer program technology, applied in the field of information processing, can solve problems such as difficulty in meeting users' potential interests and needs, and achieve the effect of avoiding the reduction of recall quality and improving click-through rate.

Active Publication Date: 2021-03-23
SHENZHEN TENCENT COMP SYST CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to provide an entity recommendation method, device, computer equipment and computer-readable storage medium for the technical problem that the entity recommended by the traditional entity recommendation method is difficult to meet the user's potential interest needs

Method used

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  • Entities recommend methods, devices, computer equipment, and computer-readable storage media
  • Entities recommend methods, devices, computer equipment, and computer-readable storage media
  • Entities recommend methods, devices, computer equipment, and computer-readable storage media

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Embodiment Construction

[0031] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0032] figure 1 An application environment diagram of an entity recommendation method in an embodiment. refer to figure 1 , the entity recommendation method is applied to entity recommendation systems. The entity recommendation system includes a user terminal 110 and a computer device 120 . The user terminal 110 and the computer device 120 are connected through a network. The user terminal 110 may specifically be a desktop terminal or a mobile terminal, and the mobile terminal may specifically be at least one of a mobile phone, a tablet computer, a notebook computer, a...

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Abstract

The invention relates to an entity recommendation method and apparatus, a computer device and a computer readable storage medium. The method comprises the steps of obtaining a user tag corresponding to a user identifier meeting an entity recommendation condition; based on a tag association relationship, obtaining an associated tag associated with the user tag; according to the user tag and the associated tag, obtaining an extended user tag corresponding to the user identifier; according to a relationship between the user tag and the associated tag, performing entity recall to obtain candidateentities; and screening the entity matched with the extended user tag in the candidate entities, and recommending the entity to the corresponding user identifier. The user tag is extended by utilizingthe tag association relationship, so that potential interests of a user are fully mined; the joint recall is performed through the relationship between the user tag and the extended tag; and the useris subjected to entity recommendation according to the candidate entities and the extended user tag, so that the recall quality reduction caused by tag extension is avoided, the recommended entity isensured to meet the potential interests of the user, and the click rate of the recommended entity is effectively increased.

Description

technical field [0001] The present application relates to the technical field of information processing, and in particular to an entity recommendation method, device, computer equipment and computer-readable storage medium. Background technique [0002] With the development of Internet technology and e-commerce, personalized entity recommendation based on big data processing has been vigorously developed and popularized. By mining the required entity data from massive data, it can provide users with personalized information services and decision support. For example, in news recommendation, the user's historical interest data is used to filter out the news that the user may be interested in from a large number of news for recommendation. [0003] However, due to the limited historical interest data of users, traditional entity recommendation methods are used to recall and recommend entities. The types of entities recalled and recommended are various, which makes it difficult...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535G06F16/955G06F16/28G06F16/2458
CPCG06F16/2465G06F16/288G06F16/951G06F16/9562
Inventor 李潇郑孙聪
Owner SHENZHEN TENCENT COMP SYST CO LTD
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