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Item recommending method and device

A recommendation method and item technology, applied in the computer field, can solve the problems of large recommendation limitations and inability to be recommended by users, and achieve the effect of reducing limitations

Inactive Publication Date: 2018-07-06
BEIJING QIYI CENTURY SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in this way, items in categories that have been interacted with can only be recommended to users, and items in categories that have never been interacted with can not be recommended to users, and the recommendation is limited.

Method used

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  • Item recommending method and device
  • Item recommending method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0082] figure 1 It is a flow chart of the steps of an item recommendation method provided in Embodiment 1 of the present invention, as shown in figure 1 As shown, the method may include:

[0083] Step 101: Determine the target user's preference value for each topic according to the preference value of each user in the network system for the topic that has been interacted with.

[0084] In the actual application scenario, each user has interacted topics and topics that have not been interacted with. In the embodiment of the present invention, when recommending items to the target user, it can be determined by each user's preference value for the interacted topic Find the target user's preference value for each topic, that is, determine the target user's preference value for the interactive topic and the preference value for the uninteracted topic. Wherein, the preference value may be determined according to the historical interaction data between each user and the interacted ...

Embodiment 2

[0095] figure 2 It is a flow chart of the steps of an item recommendation method provided in Embodiment 2 of the present invention, such as figure 2 As shown, the method may include:

[0096] Step 201. According to the historical interaction data of each user in the network system, calculate each user's preference value for each interacted item.

[0097] Taking the network system as the video system, the items as videos, and the historical interaction data including the videos clicked by the user and the viewing time corresponding to each video as an example, each user is regarded as the user to be calculated, and the following steps 2011 to 2013 are performed respectively, To realize the calculation of each user's preference value for each interacted item. As an example, assume that the video system includes three users: user a, user b and user c. In this step, user a, user b and user c can be respectively used as users to be calculated, and then user a, user b and user c...

Embodiment 3

[0160] image 3 is a block diagram of an item recommendation device provided in Embodiment 3 of the present invention, such as image 3 As shown, the device 30 may include:

[0161] The first determination module 301 is configured to determine the target user's preference value for each topic according to the preference value of each user in the network system for the topic that has been interacted with;

[0162] The second determination module 302 is configured to determine the target user's preference value for each item to be recommended according to the topic to which each item to be recommended belongs and the target user's preference value for each topic;

[0163] The recommendation module 303 is configured to recommend to the target user items to be recommended whose preference value is greater than a preset threshold.

[0164] To sum up, in the item recommendation device provided by Embodiment 3 of the present invention, the first determination module can determine t...

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Abstract

The invention provides an item recommending method and device, and belongs to the technical field of computers. The method comprises the steps that according to preference values of users for interactive themes in a network system, the preference value of a target user for each theme is determined, in other words, preference values of the target user for interactive themes and non-interactive themes are determined, then, according to the theme to which each item to be recommended belongs and the preference value of the target user for each theme, the preference value of the target user for each item to be recommended is determined, and finally, the item to be recommended with the preference value larger than a preset threshold value is recommended to the target user. Compared with the prior art that only items in the interactive themes can be recommended to users, the item recommending method has the advantages that due to the fact that the preference value of the target user for eachtheme is determined, the item in each theme can be recommended to the target user, and then the item recommending limitation is reduced.

Description

technical field [0001] The invention belongs to the technical field of computers, and in particular relates to an item recommendation method and device. Background technique [0002] With the continuous development of computer technology, there are more and more network objects in the network system. For example, there will be a large number of videos in the video system. In order to attract users, each network platform often needs to recommend some items that meet the user's preferences. [0003] In the prior art, when recommending an item to a user, it is usually recommended to the user based on the historical interaction data between the user and the item, which belongs to the same category as the interacted item. However, in this way, items in categories that have been interacted with can only be recommended to users, and items in categories that have never been interacted with can not be recommended to users, and the recommendation has relatively large limitations. Co...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/735G06F16/9535
Inventor 陈海林方非王敏
Owner BEIJING QIYI CENTURY SCI & TECH CO LTD