Information recommendation method and device, storage medium and electronic equipment

A technology of information recommendation and environmental information, which is applied in business, instrumentation, data processing applications, etc., can solve the problems of low prediction accuracy and low hit rate of information recommendation, and achieve high recommendation hit rate, accurate interest characteristics, and accurate prediction results Effect

CN114119087APending Publication Date: 2022-03-01BEIJING SANKUAI ONLINE TECH CO LTD
0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2022-03-01

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses an information recommendation method and device, a storage medium and electronic equipment, and can recall candidate commodities and determine historical behavior records of a user based on an information recommendation request sent by a user terminal. And then, for each historical behavior record, according to the environment information when the user executes the historical behavior record and the current environment information, determining an environment association weight corresponding to the historical behavior record, and according to the commodity feature of the commodity corresponding to each historical behavior record and the corresponding environment association weight, determining the interest feature of the user. And finally, according to the interest features of the user and the commodity features of the candidate commodities, predicting the click rate of the user to the candidate commodities, and performing information recommendation based on the click rate. By introducing the attention mechanism of the environmental information, the interest characteristics of the user are concentrated on the historical behavior record with relatively strong environmental association, so that the interest characteristics of the user can be represented more accurately, the prediction result is more accurate, and the recommendation hit rate is higher.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The present application relates to the technical field of information recommendation, and in particular to an information recommendation method, device, storage medium and electronic equipment. Background technique

[0002] With the development of big data technology, more and more e-commerce platforms recommend products to users through recommendation systems to improve users' decision-making experience.

[0003] At present, when recommending products to users, it is usually based on the list of products browsed, clicked or purchased by the user to predict the click rate of the user to be recommended products, so as to sort the products according to the predicted click rate. Specifically, the historical behavior records of the user may be obtained first, wherein the historical behavior records include the commodities browsed, clicked or purchased by the user. Secondly, input the product information of each product in the user's historical behavior re...

Examples

Embodiment Construction

[0059] In order to make the purpose, technical solution and advantages of this specification clearer, the technical solution of this application will be clearly and completely described below in conjunction with specific embodiments of this specification and corresponding drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the description, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the present application.

[0060] At present, when the e-commerce platform recommends products to users through the recommendation system, it can predict the user's click rate on each product to be recommended based on the product information of each product browsed by the user in history and the product information of the product to be recommended. According to the click-through rate of e...