Article recommending method and device based on ant colony collaborative filtering algorithm

A collaborative filtering algorithm and recommendation method technology, applied in computing, special data processing applications, instruments, etc., can solve the problems of reduced recommendation effect, low efficiency of recommendation system, and failure to consider the role of time factors, etc., to achieve the goal of optimizing the recommendation function Effect

Active Publication Date: 2013-12-04
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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AI Technical Summary

Problems solved by technology

[0004] However, existing recommender systems are less efficient when dealing with large-scale sparse data; on the other hand, existing recommender systems do not take into account the role played by the time factor, which is crucial to the effectiven

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  • Article recommending method and device based on ant colony collaborative filtering algorithm
  • Article recommending method and device based on ant colony collaborative filtering algorithm
  • Article recommending method and device based on ant colony collaborative filtering algorithm

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Embodiment Construction

[0021] An embodiment of the present invention provides an item recommendation method based on an ant colony collaborative filtering algorithm, including: based on user u i for any item v j The rating factor of the pheromone and the decay factor of the pheromone, get the user u i pheromone and any of said items v j pheromone According to the user u i pheromone and any of said items v j pheromone Calculate the user u i with any of said items v j similarity; sort the similarity obtained by the calculation, and send to the user u i Recommend items with high similarity. The embodiment of the present invention also provides a corresponding item recommendation device based on an ant colony collaborative filtering algorithm. Each will be described in detail below.

[0022] The basic flow of the item recommendation method based on the ant colony collaborative filtering algorithm in the embodiment of the present invention can be referred to figure 1 , mainly including s...

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Abstract

The invention discloses an article recommending method and a device based on an ant colony collaborative filtering algorithm, which are used for recommending proper articles for a user according to the favor of the user. The method comprises the following steps: acquiring the information element of user ui and the information element of any article vj based on the rating factor of the article vj and the decay factor of the information element given by the user ui, and calculating the similarity between the user ui and the article vj according to the information element of the user ui and the information element of the article vj; sequencing the similarity obtained by calculating, and recommending articles with high similarity for the user ui. According to the method provided by the embodiment of the invention, modelling is performed according to the fact that the favor of user can be changed along with time by means of a mechanism that the information element is volatilized along with time, so that articles the user really likes can be recommended for the user, and the recommending function of a recommending system is optimized.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to an item recommendation method and device based on an ant colony collaborative filtering algorithm. Background technique [0002] With the continuous development of the Internet and communication technology, people are more and more inclined to shop online, e-commerce is a successful example. If the system can make a certain judgment based on the user's shopping situation, that is, to judge which items the user still likes, it can recommend the items he likes to the user, which not only saves the user's selection time, but also greatly improves the e-commerce business. profitability. Of course, this method of recommending other items that users like based on what they have purchased in the e-commerce field can also play a role in physical stores. If the "items" here are further abstracted, for example, abstracted into virtual items such as knowledge and information, the me...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q30/00
Inventor 廖晓锋姜青山
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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