Home decoration information real-time recommendation method and related device
A real-time recommendation and home improvement technology, applied in the computer field, can solve the problems of inability to recommend long-tail items to end users and low click exposure of users of long-tail items, so as to improve the click-to-exposure ratio, ensure stickiness and access time, and improve user experience Effect
Pending Publication Date: 2022-04-19
SHENZHEN BINCENT TECH
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[0004] The purpose of this application is to provide a real-time recommendation method and related devices for home improvement information, aiming to solve the technical problems in the prior art that users click on long-tailed items and the exposure is relatively low, and it is impossible to accurately recommend long-tailed items to end users
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[0046] 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. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0047] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention. The terms used herein in the description of the present invention are for the purpose of describing specific embodiments only, and are not intended to limit the present inventio...
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The invention is suitable for the field of computers, and provides a home decoration information real-time recommendation method and a related device, and the method comprises the steps: obtaining historical behavior data of a terminal user; judging the relevance between the historical behavior data of the terminal user and long-tail articles based on offline calculation to obtain a similarity matrix of the articles; obtaining current behavior data of the terminal user; calculating a plurality of target long-tail articles most similar to the current behavior data by using the similarity matrix of the articles; constructing the target long-tail articles based on a LightGBM algorithm, and performing pre-estimation sorting on the long-tail articles by using a user behavior feature matrix to obtain a recommendation list of to-be-recommended target long-tail articles; and sending the recommendation list of the to-be-recommended target long-tail articles to a terminal user. The home decoration information real-time recommendation method can enrich association among the long-tail articles by using a walk sequence for a large number of long-tail articles, effectively improve the click exposure ratio of the user, improve the user experience of information flow, and further ensure the user stickiness and access duration.
Description
technical field [0001] The present application belongs to the field of computers, and in particular relates to a method for real-time recommendation of home improvement information and related devices. Background technique [0002] With the continuous optimization of computer technology, the continuous development of online network platforms and the increase in the speed of mobile communication, more and more people choose to obtain and browse information online. For example, in the field of home decoration design, through VR virtual reality technology, users can freely browse various home decoration platforms without being restricted by the offline environment. [0003] When a user browses on the platform, the background will construct the information flow consumed by the user with pictures, graphics, videos, live broadcasts, and diary content according to the information flow browsed by the user, and use the offline calculation similarity sequence and popularity algorithm ...
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IPC IPC(8): G06F16/9535G06F9/54
CPCG06F16/9535G06F9/546
Inventor 王国彬牟锟伦卢铄波莫胜松廖国林
Owner SHENZHEN BINCENT TECH