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Interaction event-based webpage project recommendation method and device

An interactive event and item recommendation technology, applied in the Internet field, can solve the problems of data volume expansion, recommending products that cannot be of interest to users, over-storage of servers, and overload of computing and processing work, so as to reduce the amount of data and save computing resources. and the effect of storing resources

Inactive Publication Date: 2017-03-08
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, there are three problems in this product recommendation method: first, in practical applications, users may not want to spend time and effort to provide product evaluation points, resulting in the lack of evaluation points and cannot make effective product recommendations; The evaluation score has a subjective tendency, and the product recommendation based on the subjective evaluation score cannot objectively and accurately recommend the product that meets the user's interest to the user; finally, as the data volume of the product in the Internet continues to increase, through the collaborative filtering algorithm Commodity recommendation will rapidly expand the data volume of the correlation matrix in the current algorithm, resulting in overstorage of the server, overloading of computing and processing work, and even server crashes

Method used

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  • Interaction event-based webpage project recommendation method and device
  • Interaction event-based webpage project recommendation method and device
  • Interaction event-based webpage project recommendation method and device

Examples

Experimental program
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example 1

[0086] As a preferred example 1 of the embodiment of the present invention, the step 202 may include the following sub-steps:

[0087] In sub-step S21 , an event pair is formed between the interaction event of the same user and the target interaction event, and the product of the interest degree scores of the interaction event and the target interaction event in the event pair is calculated.

[0088] The interaction event of the same user and the target interaction event may form an event pair, and the interest degree score of the interaction event in the event pair is multiplied by the interest degree score of the target interaction event. When there is no target interaction event, that is, the interest degree score of the target interaction event is 0, the multiplication result is also 0. Because only the correlation between the target interaction event and the interaction event needs to be paid attention to, when there is no target interaction event, the multiplication resu...

example 2

[0102] As a preferred example 2 of the embodiment of the present invention, the step 202 may include the following sub-steps:

[0103] In sub-step S31, the interaction event of the same user and the target interaction event are combined into an event pair, and the interest degree scores of the interaction event and the target interaction event in the same event pair of multiple users are respectively used to form an interaction event interest degree score set A collection of interest scores for interaction events with the target.

[0104] Sub-step S32, calculating the Jaccard coefficient between the set of interest degree scores of the interaction event and the set of interest degree scores of the target interaction event as the degree of correlation.

[0105] In practical applications, when the user does not generate an interaction event for the webpage item, the interest degree score of the interaction event can be 0; if there is an interaction event, the interest degree sco...

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Abstract

The embodiment of the invention provides an interaction event-based webpage project recommendation method and device. The method comprises the steps of generating the relevance between interaction events and target interaction events in the interaction events according to interaction information of the interaction events of multiple users for webpage projects; for the interaction events of the current user, extracting a target webpage project corresponding to at least one target interaction event according to the relevance between the interaction events and multiple target interaction events; and recommending the target webpage project to the current user, so that the problem that effective webpage project recommendation cannot be carried out due to the fact that the users do not provide evaluation points is solved; furthermore, the webpage projects conforming to the user interests can be objectively and accurately recommended to the users by adopting the interaction events of the webpage projects as a basis of relevance computation; and only the relevance between the target interaction events and the interaction events is calculated in the relevance computation, so that the data quantity in the relevance computation is reduced and computing resources and storage resources of a server are saved.

Description

technical field [0001] The present application relates to the field of Internet technology, in particular to a method for recommending webpage items based on interactive events and a device for recommending webpage items based on interactive events. Background technique [0002] With the continuous development of Internet technology, more and more users browse various commodities on the web. [0003] In order to recommend webpage items that users may be interested in, the website provider will collect a large number of users' evaluation scores for each commodity, and use the evaluation scores to calculate the correlation matrix between commodities through a collaborative filtering algorithm. For a certain user, use the user's evaluation points for some products and the correlation between this part of products and other products to calculate the recommendation degree of other products and recommend them to the user accordingly. [0004] At present, there are three problems ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/00G06F16/9535
Inventor 李玉龙
Owner ALIBABA GRP HLDG LTD
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