Data recommendation method and device

A data recommendation and item technology, applied in the Internet field, can solve the problems of small number of recommended candidate set items, increased system power consumption, and influence on recommendation accuracy, etc.

Pending Publication Date: 2018-06-22
TENCENT TECH (SHENZHEN) CO LTD +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since it is necessary to find users similar to the user to be recommended among a large number of users, it will bring a huge amount of calculation due to the large search range, which will greatly increase the power consumption of the system; and the items evaluate

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Embodiment Construction

[0087] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0088] See Figure 1a , is a schematic diagram of a network architecture provided by an embodiment of the present invention. Such as Figure 1a As shown, the network architecture may include a server 100 and multiple user terminals ( Figure 1a Specifically, taking user terminal 200a, user terminal 200b, and user terminal 200c as an example, the embodiment of the present invention does not limit the number of user terminals), the server 100 can respectively perform ...

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Abstract

The embodiment of the invention discloses a data recommendation method and device. The method comprises the steps that all user clusters and all item clusters are acquired; in the user cluster which atarget us belongs to, a neighbor user corresponding to the target user is acquired; an item evaluated by the target user and an item evaluated by the neighbor user are both determined as target items, and in the item cluster which each target item belongs to, a neighbor item corresponding to the target item is acquired; in the target item and the neighbor item corresponding to the target item, the items evaluated by the target user are removed to obtain a to-be-recommended item set, forecast scores between the target user and each item in the to-be-recommended items are respectively calculated, and according to the forecast scores, a recommendation item corresponding to the target user is selected in the to-be-recommended item set. By adopting the data recommendation method and device, the system power consumption can be reduced, and the accuracy of the recommendation is improved.

Description

technical field [0001] The present invention relates to the technical field of the Internet, in particular to a data recommendation method and device. Background technique [0002] With the rapid development of Internet technology, the amount of data on network platforms has increased exponentially, and information technology has profoundly affected and changed human life. Since there is a huge and complicated information ocean in the Internet, how to recommend personalized information services for massive users in the information ocean is particularly important. [0003] In the current information recommendation method, it is usually based on the ratings of users on items (such as movies, songs, articles, etc. Internet information), find similar users among a large number of users for the users to be recommended, and then compare the ratings of these similar users. Select the recommended item for the user to be recommended from the past items. Since it is necessary to fin...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/62
CPCG06F16/9535G06F18/23213G06F18/22Y02D10/00
Inventor 史燕飞程星
Owner TENCENT TECH (SHENZHEN) CO LTD
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