Object proposed method, computing device and computer-readable storage medium
A computing device and computer program technology, applied in the object recommendation field of object recommendation, can solve the problems of sparse data, resources and commodities are not properly recommended to users, and users cannot recommend target objects.
Active Publication Date: 2021-02-12
上海收钱吧互联网科技股份有限公司
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Problems solved by technology
However, when there is a lack of user online behaviors (such as online purchase records and online video viewing records), or there are a large number of target objects that have not been manipulated, resources and products are often not properly recommended to users.
[0003] Therefore, the disadvantage of the traditional object recommendation scheme is that when the user's online operation behavior data is very sparse, it is impossible to accurately recommend the target object to the user.
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[0017] Preferred embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although preferred embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
[0018] As used herein, the term "comprise" and its variants mean open inclusion, ie "including but not limited to". The term "or" means "and / or" unless otherwise stated. The term "based on" means "based at least in part on". The terms "one example embodiment" and "one embodiment" mean "at least one example embodiment." The term "another embodiment" means "at least one further embodiment". The terms "first", "second", etc. may refer to di...
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According to the embodiments of the present disclosure, an object recommendation method, an electronic device, and a computer-readable storage medium are provided. A method for object recommendation, comprising: determining at least one reference user associated with the target user based on historical selection records of the target user and multiple reference users for multiple online objects and multiple offline objects; based on the historical selection records, determining The characteristics of the above user and object; based on the characteristics of the object, associating at least one offline object with at least one online object; based on the historical selection record, updating the historical selection record of at least one reference user to the associated at least one online object and determining at least one online object for recommending to the target user based on the updated history selection record and user characteristics. According to the solutions of the present disclosure, objects can be accurately recommended to users, thereby improving user experience.
Description
technical field [0001] Embodiments of the present disclosure relate to the field of information recommendation, and more particularly, to object recommendation methods, computing devices, and computer-readable storage media for object recommendation. Background technique [0002] With the rapid development of the Internet, the information received by people is also increasing explosively. The recommendation system needs to recommend resources and commodities of interest to users in the case of information overload, so as to improve user experience and improve resource distribution efficiency and Product purchase rate. In a traditional object recommendation solution, a computing device usually recommends a target object based on acquiring user online historical operation behavior data. However, when there is a lack of users' online behaviors (such as online purchase records and online video viewing records), or there are a large number of target objects that have not been ma...
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IPC IPC(8): G06F16/9535
CPCG06F16/9535
Inventor 常建龙赵玮张辛宇姜浩然
Owner 上海收钱吧互联网科技股份有限公司