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Movie marking prediction method based on implicit bias and interest of friends

A score prediction and implicit technology, applied in the field of movie score prediction based on implicit bias and friends' interests, can solve the problem of not considering personal bias and friends' interests at the same time, and achieve the effect of accurate predicted scores

Inactive Publication Date: 2014-08-20
EAST CHINA NORMAL UNIV
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AI Technical Summary

Problems solved by technology

[0003] The matrix decomposition technology considering user bias and the matrix decomposition technology considering friends' interests are often used to predict users' ratings of movies in recent years, but there is no matrix decomposition technology that considers personal bias and friends' interests at the same time

Method used

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  • Movie marking prediction method based on implicit bias and interest of friends
  • Movie marking prediction method based on implicit bias and interest of friends
  • Movie marking prediction method based on implicit bias and interest of friends

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Embodiment Construction

[0026] refer to figure 1 , the present invention is applied to a movie recommendation system. First, input user rating log data and user friend list data, train a "rating prediction model combining personal bias and friend interests", obtain user's predicted ratings for movies, and sort the predicted ratings in descending order to generate recommendations list, the specific steps are as follows:

[0027] Step 1: Generate a user-item rating matrix based on the movie rating log data, denoted as R;

[0028] The second step: according to the friend list data user-friend relationship matrix, denoted as F;

[0029] Step 3: Design the model and manually set the model training parameters: friend interest weight w (generally set to 0.01). The model includes the following two parts design: the design of the objective function and the design of the scoring prediction formula. The objective function L is:

[0030] L = Σ u ...

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Abstract

The invention discloses a movie marking prediction method based on implicit bias and interest of friends. The method includes the steps of constructing a marking prediction model integrating personal bias with the interest of the friends according to movie marking logs of users and friend list data of the users, conducting model training to obtain bias matrixes of the users on movies, user implicit feature matrixes and article implicit feature matrixes, generating a friend interest implicit feature matrix through combination with the friend list data and the user implicit feature matrixes, generating a user-article prediction marking matrix according to the user implicit feature matrixes, the article feature matrixes, user-article bias matrixes and the friend interest implicit feature matrix, and finally generating a recommendation list for the users. Through the movie marking prediction method based on the implicit bias and the interest of the friends, marking bias of the users and article preferences of the friends are overall considered, and the recommendation quality is improved.

Description

technical field [0001] The invention relates to the technical field of movie recommendation on the Internet, in particular to a method for predicting movie ratings based on implicit bias and friends' interests. Background technique [0002] With the rapid development of the Internet and the continuous improvement of the speed of information transmission, social networking sites have become more and more popular, and social networking sites with e-commerce have become more and more active, such as flixster.com and epinions.com (which have been classified into eBay). People often communicate and communicate with their friends on the movies they have watched, the commodities they have purchased, and the books they have read on their social networking sites. In such social networking sites, users' comments on movies are not only determined by personal preference factors, but also influenced by friend factors. [0003] The matrix decomposition technology considering user bias a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/00
Inventor 贺樑王智谨
Owner EAST CHINA NORMAL UNIV
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