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A Narrow Group Recommendation List Method Based on Subgroup and Social Behavior

A recommendation list and subgroup technology, applied in the field of data processing, can solve the problem of large-scale recommendation list and achieve the effect of convenient selection

Active Publication Date: 2022-06-24
NANJING TECH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method for reducing group recommendation lists based on subgroups and social behaviors, which can solve the problem of excessively large recommendation lists in group recommendations and ensure the fairness of recommendations

Method used

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  • A Narrow Group Recommendation List Method Based on Subgroup and Social Behavior
  • A Narrow Group Recommendation List Method Based on Subgroup and Social Behavior
  • A Narrow Group Recommendation List Method Based on Subgroup and Social Behavior

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Experimental program
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Embodiment 1

[0022] An embodiment of the present invention, taking a movie list as an example, introduces a method for reducing a group recommendation list based on subgroups and social behaviors. The implementation process is as follows: figure 1 shown.

[0023] Step 1: Divide the group into several subgroups.

[0024] Filter out the useless data from the obtained original data set, preprocess the data set (randomly divide it into several groups), obtain the project theme feature (ie movie type) model and user theme preference model, and divide each group into several groups. subgroups. The method for obtaining the item topic feature model and the user topic preference model includes the following steps:

[0025] 1-1) Use the LDA (Latent Dirichlet Allocation, latent Dirichlet distribution) topic model to obtain the following project topic feature models:

[0026]

[0027] Among them, use represents the sth movie m s Whether it contains the subject feature g i . when represent...

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Abstract

The invention discloses a method for narrowing down a group recommendation list based on subgroups and social behavior, and belongs to the technical field of data processing. The present invention includes dividing the data set into several groups, obtaining the project theme feature model and the user theme preference model, and dividing each group into several subgroups; obtaining the initial group recommendation list, subgroup preference and subgroup preference according to the subgroups. Group weights; according to the subgroup weights and subgroup preferences, group preferences are obtained through a weighted model; similarity matching is performed between the group preferences and the initial group recommendation list to obtain a final group recommendation list. The present invention can minimize the group recommendation list on the premise of satisfying recommendation accuracy and fairness, so that group members can make choices more conveniently.

Description

technical field [0001] The invention belongs to the technical field of data processing, and in particular relates to a method for reducing a group recommendation list based on subgroups and social behaviors. Background technique [0002] With the rise of the Internet age, people's clothing, food, housing and transportation have undergone tremendous changes. Users buy, read and browse on the Internet, while enjoying the convenience brought by the Internet, they also provide a lot of personal information to the Internet. Users not only receive information on the Internet, but also create information, which has caused an explosion of data. growth. In the face of the increasing amount of data, we need to fully analyze and utilize it to better serve users. How to quickly and accurately obtain the content that users want from the massive data is an urgent problem to be solved. Recommender systems aim to provide users with items of interest in an overloaded search space. At pres...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535G06K9/62G06Q50/00
CPCG06Q50/01
Inventor 毛宇佳刘学军何瑾琳张军强陆淑娟
Owner NANJING TECH UNIV