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Personalized recommendation method and device of characteristic information

A technology of feature information and classification labels, applied in the field of information processing, can solve problems such as single recommended products, low utilization rate of user behavior information, single recommendation algorithm, etc.

Inactive Publication Date: 2012-10-31
BEIJING QIHOO TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Due to the single recommendation algorithm used in these existing technologies, the utilization rate of user behavior information is low, resulting in a single recommended product. For example, for millions of products on the platform, only products similar to the products browsed by the user can be recommended, which cannot satisfy the diverse needs of users. demand

Method used

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  • Personalized recommendation method and device of characteristic information
  • Personalized recommendation method and device of characteristic information
  • Personalized recommendation method and device of characteristic information

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Embodiment Construction

[0091] In order to make the above objects, features and advantages of the present application more obvious and comprehensible, the present application will be further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0092] refer to figure 1 , which shows a flow chart of steps of an embodiment of a method for personalized recommendation of feature information in this application, which may specifically include the following steps:

[0093] Step 101, receiving a feature information acquisition request submitted by a user, where the request includes a user ID;

[0094] Step 102, acquiring behavior tendency information of the user according to the user identifier;

[0095] Step 103, using the behavior tendency information of the user to extract the currently associated feature information according to preset rules;

[0096] Step 104, extracting the feature information of the current association that meets the preset r...

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Abstract

The invention provides a personalized recommendation method and device of characteristic information, wherein the personalized recommendation method comprises the following steps of: receiving a characteristic information acquisition request submitted by a client, wherein the characteristic information acquisition request includes a user identification; acquiring user behavior tendency information according to the user identification; extracting current associated characteristic information according to a preset rule by using the user behavior tendency information; extracting current associated characteristic information which meets preset requirements and returning the extracted current associated characteristic information to the client. According to the invention, various personalized needs of users can be met, online shopping time cost of users is reduced and purchasing conversion rate of electronic commerce is increased.

Description

technical field [0001] The present application relates to the technical field of information processing, and in particular to a method for recommending personalized feature information and a device for recommending personalized feature information. Background technique [0002] The Internet is an important way for people to obtain information. The main feature of the traditional Internet is that when users look for things they are interested in, they need to conduct a large number of searches through the browser, and at the same time need to manually filter out a large number of irrelevant results. The operation is cumbersome and Takes time and energy. [0003] Taking e-commerce as an example, the main feature of traditional e-commerce is that users log on to various e-commerce platforms, find products they are interested in, and then make purchases. However, with the continuous expansion of the scale of e-commerce, merchants provide a large number of products through shopp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q30/02
Inventor 李少伟常富洋秦吉胜
Owner BEIJING QIHOO TECH CO LTD
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