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A method of narrowing group recommendation list based on subgroup and social behavior

A recommendation list and group 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: 2018-12-28
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 method of narrowing group recommendation list based on subgroup and social behavior
  • A method of narrowing group recommendation list based on subgroup and social behavior
  • A method of narrowing group recommendation list based on subgroup and social behavior

Examples

Experimental program
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Embodiment 1

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

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

[0024] Filter out 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. Wherein, the method for obtaining the item theme feature model and the user theme preference model includes the following steps:

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

[0026]

[0027] where, using Indicates the sth movie m s Does it contain the theme feature g i . when means ...

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Abstract

The invention discloses a method for reducing group recommendation list based on subgroup and social behavior, belonging to the technical field of data processing. The invention includes dividing thedata set into a plurality of groups, obtaining an item subject characteristic model and a user subject preference model, and dividing each group into a plurality of sub-groups; obtaining an initial group recommendation list, a subgroup preference and a subgroup weight according to the subgroup; according to the subgroup weight and the subgroup preference, obtaining a group preference through a weighted model; the group preference being matched with the similarity of the initial group recommendation list to obtain a final group recommendation list. The invention can maximize and reduce the group recommendation list on the premise of satisfying the recommendation accuracy and fairness, so that the 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 group recommendation lists based on subgroups and social behaviors. Background technique [0002] With the rise of the Internet age, people's basic necessities of life have undergone tremendous changes. Users purchase, 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 causes a data explosion. growth. Facing the ever-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 amount of data is an urgent problem to be solved. Recommender systems aim to provide users with items of interest in an overloaded search space. At present, the reco...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q50/00
CPCG06Q50/01
Inventor 毛宇佳刘学军何瑾琳张军强陆淑娟
Owner NANJING TECH UNIV