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Commendation method of personalized resource information based on scene information

A technology of resource information and recommendation methods, applied in the fields of information filtering and data mining, can solve the problems that the system is difficult to make recommendations, does not consider the natural language understanding of tags, and cannot accurately describe user preferences, so as to avoid redundancy and ambiguity, solve the inaccuracy problem, and improve the effect of accuracy

Active Publication Date: 2010-06-23
INST OF AUTOMATION CHINESE ACAD OF SCI
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

Due to the redundancy and ambiguity of labels, such as synonyms and polysemy, the model does not consider the natural language understanding of labels
The second model is to use tag information in the process of calculating resource recommendations. The shortcoming of this method is that it is difficult for the system to make recommendations when the overlapping usage rate of tags by users is very low.
This method defaults that the user has the same preference for all the resources he has purchased or browsed, and as time goes by, the user's preference remains static, so it cannot accurately describe the user's preference

Method used

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  • Commendation method of personalized resource information based on scene information
  • Commendation method of personalized resource information based on scene information
  • Commendation method of personalized resource information based on scene information

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Embodiment Construction

[0041] The present invention will be described in detail below in conjunction with the accompanying drawings. It should be noted that the described embodiments are only intended to facilitate the understanding of the present invention, rather than limiting it in any way.

[0042] In order to realize the method of the present invention, the embodiment considers the number of users and resources involved in the algorithm. If it is implemented on a single machine, it is best to ensure that the main frequency of the processor is not less than 2GHz, and the memory is not less than 1G. It can be written in any common programming language.

[0043] A novel method for recommending personalized resource information based on contextual information proposed by the present invention, the overall process is as follows figure 1 As shown, the specific data flow of each step is composed of figure 2 , 3 , 4 is given. The preprocessing part of step S1 prepares data for the entire collaborati...

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Abstract

The invention discloses a commendation method of personalized resource information based on scene information. The method comprises: pre-processing the web page of a synergic labeling system, storing the information of all labeling behaviors of a user according to the information of the labeling behaviors, wherein the information is extruded by a specific user and comprises labeled resource information, used tag information and labeled time information; generating grading data expressing user preferences according to the tag information that the user uses the resources in a database and the time information of the labeled resource; calculating the similarity among users based on the generated grading data expressing the user preference so as to determine that the users with similar interest are adjacent; commending the resource that is not labeled by the user to the users according to the adjacent preference information of the users to complete the commendation of synergic filtrated personalized resource. Experiments show that better personalized commendation service can be provided for the users through integrating the scene information.

Description

technical field [0001] The invention relates to the technical fields of information filtering and data mining, and is a novel method for recommending personalized resource information based on situational information. Background technique [0002] With the development of Web 2.0, the amount of information on the Internet has increased exponentially. Massive information makes it difficult for users to quickly and conveniently discover and obtain the information they need. As an important means of information filtering, the recommendation system can automatically discover the information that users are interested in, and effectively provide users with personalized services. At present, the recommendation system has been integrated into major e-commerce systems, such as Amazon, eBay, Youtube, etc., and is still developing rapidly. DVD online rental company Netflix launched a competition on October 2, 2006: Netflix Prize, any organization or individual can get one million doll...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q10/00H04L29/06G06Q10/06
Inventor 郑楠李秋丹戴汝为
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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