Recommendation information generation method and device, electronic equipment and readable storage medium

A technology for recommending information and personalities, applied in the field of data processing, can solve problems such as single description, limited amount of information, and user fatigue

Pending Publication Date: 2020-09-08
BEIJING SANKUAI ONLINE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the recommendation reason scenario, a single user comment often has limited information, and the sense of surprise and highlight is not prominent enough.
Based on social relations, based on user similarity and based on item similarity, the problem with these three types of recommendation information is that the description is too simple, which often brings users a sense of fatigue
[0008] Therefore, the recommendation information generation method in the prior art needs to be improved

Method used

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  • Recommendation information generation method and device, electronic equipment and readable storage medium
  • Recommendation information generation method and device, electronic equipment and readable storage medium
  • Recommendation information generation method and device, electronic equipment and readable storage medium

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Embodiment Construction

[0085] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0086] refer to figure 1 , figure 1 It is a flowchart of a method for generating recommendation information proposed by an embodiment of the present application. Such as figure 1 As shown, the method includes the following steps:

[0087] Step S11, according to the correlation between the user ID, the object ID, and the context attribute parameters, determine multiple paths including the first node including the context attribute parameter, the second node including the...

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Abstract

The embodiment of the invention provides a recommendation information generation method and device, electronic equipment and a readable storage medium. The method comprises the following steps: according to an association relationship among user identifiers, object identifiers and situation attribute parameters, obtaining user identifiers; determining a first node comprising a context attribute parameter and a second node comprising a user identifier, and a plurality of paths including a third node of the object identification, according to each sub-parameter value included in the first node on the plurality of paths and a third node, grouping the plurality of paths; obtaining multiple sets of paths, according to the respective path attribute values of the multiple groups of paths; generating recommendation information of the to-be-recommended object, by adoption of the method provided by the embodiment of the invention, the process of generating the to-be-recommended information is combined with the situation attribute parameters and the path attribute values in the historical data of the field to which the recommendation information belongs, so that the recommendation informationfor the to-be-recommended object is richer and has reference, and more surprise and attraction can be brought to the user.

Description

technical field [0001] The embodiments of the present application relate to the technical field of data processing, and in particular to a method, device, electronic device, and readable storage medium for generating recommendation information. Background technique [0002] With the development of Internet technology, users frequently choose items online. Usually, the system will recommend an item to the user to help them choose. While recommending items, the system aims to enhance the user's trust in the recommended items and enhance the user's confidence in the recommended items. The experience will also give the reason for recommending the item, that is, the recommendation information. The existing recommendation information generation methods can be roughly divided into the following categories: [0003] Based on user reviews. High-quality review texts are mined from a large number of user reviews on the item, and then recommended to users. For example, "Tom Yum Kung ...

Claims

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Application Information

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IPC IPC(8): G06F16/9536G06Q30/06H04L29/08
CPCG06F16/9536G06Q30/0631H04L67/55
Inventor 杨玉基王倩舒张梦迪张富峥王仲远
Owner BEIJING SANKUAI ONLINE TECH CO LTD
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