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Information resource automatic recommendation method for university student groups

A technology of information resources and recommendation methods, applied in the ideological field of collaborative filtering recommendation algorithm, to achieve the effect of improving pertinence, alleviating data sparseness and cold start problems

Inactive Publication Date: 2018-03-30
JIANGSU UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The invention proposes an automatic recommendation method for information resources aimed at college students, which alleviates the data sparseness and cold start problems at the initial stage of operation to a certain extent

Method used

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  • Information resource automatic recommendation method for university student groups
  • Information resource automatic recommendation method for university student groups
  • Information resource automatic recommendation method for university student groups

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Embodiment 1

[0043] The present invention provides a method for automatically recommending information resources aimed at college students, and its approximate implementation process is as follows: figure 1 shown, including the following steps:

[0044] Step 1: Obtain user rating data on items as shown in Table 1 and user social data as in Table 2. Part of the data is intercepted from the Epinions dataset. As an example, user rating data includes user id, item id, and user ratings on items, etc. User social data Including user id, friend id and interaction status;

[0045] Table 1 User rating data for items

[0046]

[0047] Table 2 User social data

[0048]

[0049] Step 2 specifically includes the following processes:

[0050] Process 2.1, using the similarity model based on the Pearson correlation coefficient, using formula (1) to calculate the similarity between the user whose user id is 547 and the user whose user id is 548;

[0051]

[0052] Among them, I(u) represents t...

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Abstract

The invention discloses an information resource automatic recommendation method for university student groups. The method comprises the steps of obtaining user data and data needed to be recommended;calculating a user evaluation matrix-based neighbor set by adopting a user similarity model; calculating a social network information-based neighbor set by adopting a social network information-basedsimilarity model; according to the two neighbor sets, calculating out scores of prediction projects, and mixing two results; and screening out a TOP-N project with a highest score, and obtaining a recommendation result. A social network of users is fused in a conventional collaborative filtering algorithm, so that the information sharing and communication needs of university students are met. Themethod can provide the more suitable recommendation result for the university student-oriented vertical field.

Description

technical field [0001] The invention relates to the idea of ​​a collaborative filtering recommendation algorithm, in particular to a user similarity calculation method for mixing user social network information. Background technique [0002] With the acceleration of data generation, the development of information technology and the increasing demand for information exchange among college students, Internet thinking has penetrated into the study and life of college students. A large amount of information is generated all the time, all kinds of information are complicated, and the traditional information push method can no longer meet the needs of real life. Therefore, information recommendation technology represented by collaborative filtering recommendation algorithm came into being, personalized customization and recommendation The system is also widely used in various fields. [0003] Combining the social network and the recommendation system, the recommendation based on ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q50/00
CPCG06F16/9535G06Q50/01
Inventor 周从华商翔宇刘志锋李雷单田华
Owner JIANGSU UNIV
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