Content recommendation method and device
A content recommendation and content technology, applied in the field of content recommendation methods and devices, can solve the problems of content recommendation relying on user preferences and low accuracy, and achieve the effects of improving efficiency and accuracy, improving user experience, and improving data processing efficiency
Pending Publication Date: 2022-03-11
CHINA CONSTRUCTION BANK
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[0003] The present disclosure provides a content recommendation method and its device, so as to at least solve the problem in the related art that content recommendation depends on user preference and the accuracy is not high
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[0039] In order to enable ordinary persons in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings.
[0040] It should be noted that the terms "first" and "second" in the specification and claims of the present disclosure and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein can be practiced in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consi...
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The invention relates to a content recommendation method and device, and relates to the technical field of data processing and deep learning, and the method comprises the steps: obtaining target behavior information and target portrait information of a target object; obtaining target description information and target comment information of a plurality of candidate contents to be recommended; inputting the target behavior information, the target portrait information, the target description information and the target comment information into a target lightweight deep learning model to obtain a first feature vector representation of the target object and a second feature vector representation of each candidate content; and determining to-be-recommended target content from the candidate content according to the first feature vector representation and the second feature vector representation. According to the content recommendation method and device, the problem of preference dependence in content recommendation can be solved, the cold start problem caused by data sparsity can be avoided, and the content recommendation accuracy and efficiency are improved.
Description
technical field [0001] The present disclosure relates to the technical fields of data processing and deep learning, and in particular to a content recommendation method and device thereof. Background technique [0002] With the rapid development of the Internet, the amount of information on the Internet has increased significantly. When faced with a large amount of information, it is difficult for users to obtain the part of information that is really useful to them, and the efficiency of using information is reduced instead. In related technologies, similar content is mined for recommendation mainly based on the content selected or rated by the user. This method depends on user preferences. For new users or content, no rating data can be used to make recommendations. Contents of the invention [0003] The present disclosure provides a content recommendation method and device thereof, so as to at least solve the problem in the related art that content recommendation depend...
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IPC IPC(8): G06F16/9535G06F16/908G06F16/957G06K9/62G06N3/04G06N3/08
CPCG06F16/9535G06F16/908G06F16/9574G06N3/08G06N3/045G06N3/044G06F18/22
Inventor 林社亮傅强张驰张舜华任文涛吴兴谭汉坚郭友德郑百成赵欣李昭莹凌子烨冷真敏
Owner CHINA CONSTRUCTION BANK