Method, electronic device and storage medium for recommending goods
A technology for products and users, applied in the field of information processing, can solve the problems of recommended products being taken off the shelf, and the products of promotional activities are not particularly effective.
Active Publication Date: 2020-10-23
上海众旦信息科技有限公司
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Problems solved by technology
However, traditional personalized recommendations are often not particularly effective for promotional products, and it is easy to cause the recommended products to be removed from the shelves.
Method used
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[0015] Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
[0016] 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 on...
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Embodiments of the present disclosure relate to a method, an apparatus, an electronic device, and a computer storage medium for recommending commodities, and relate to the field of information processing. According to the method, based on the user clicking on the commodity record, a clicked commodity identifier sequence associated with the user identifier is generated; based on the current time and the activity deadline associated with the commodity identifier, the remaining time associated with the commodity identifier is determined; based on the clicked commodity identifier Sequence and the remaining time associated with the commodity identifier, generate a commodity co-occurrence tuple, the commodity co-occurrence tuple includes clicking on two commodity identifiers and weights in the commodity identifier sequence; based on the commodity co-occurrence tuple, generate a the product representations; and based on the similarity between the product representations, determine recommended products associated with the product identifiers. Thus, when determining the recommended product, the event deadline of the product is taken into consideration, so as to avoid the problem of timeliness of the recommended product.
Description
technical field [0001] Embodiments of the present disclosure generally relate to the field of information processing, and specifically relate to a method for recommending commodities, an electronic device, and a computer storage medium. Background technique [0002] The personalized product recommendation of the e-commerce website recommends products for users based on the records that users have browsed, favorited or purchased, combined with product characteristics. For example, the user is provided with a recommendation item of "other products purchased by customers who viewed this product". This personalized product recommendation improves the effective conversion rate of product sales across the website and increases product sales. However, traditional personalized recommendations are often not particularly effective for promotional products, and it is easy to cause the recommended products to be removed from the shelves. Contents of the invention [0003] Provided a...
Claims
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IPC IPC(8): G06F16/9535G06Q30/06G06K9/62
CPCG06F16/9535G06Q30/0631G06F18/22
Inventor 胡强乌景猛
Owner 上海众旦信息科技有限公司