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Television user family member analysis method based on LDA (Latent Dirichlet Allocation) model

An analysis method, user's technology, applied in the direction of electrical components, selective content distribution, image communication, etc.

Inactive Publication Date: 2016-04-20
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The existing TV smart TV recommendation system has certain limitations in the recommendation process because there is no TV user family member information and the active time period of each family member. If a better recommendation effect is to be achieved, a more humanized The recommendation of the user's family members and the active time of each member will improve the recommendation system and make the recommendation results more humanized

Method used

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  • Television user family member analysis method based on LDA (Latent Dirichlet Allocation) model
  • Television user family member analysis method based on LDA (Latent Dirichlet Allocation) model
  • Television user family member analysis method based on LDA (Latent Dirichlet Allocation) model

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Embodiment Construction

[0030] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0031] The family member analysis steps include:

[0032] 1. Segment the movie information in the database into words

[0033] Extract the information of the movie in the database (movie title, movie label and movie introduction), perform word segmentation on the content of the title and introduction, and retain verbs, names, adjectives, adverbs, time words, and place words. The purpose of word segmentation is to use the word segmentation results in a specific format as the learning input of the LDA model and as the training input vector of the LDA topic model.

[0034] 1.1 Information before video segmentation

[0035] Title: A smart rest

[0036] Summary: This film tells the story of Ikkyu using his wit and courage to help those poor people and teach those who bully others, which left a deep impression on people.

[0037] Tag: [Japan, anime, Japan...

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Abstract

The invention discloses a television user family member analysis method based on an LDA (Latent Dirichlet Allocation) model. The method comprises the following steps: extracting information of movies from a database; performing word segmentation on the movie information; taking the segmented words as the input of the LDA model; obtaining each theme of the movies, the distribution probability of the segmented words on each theme and the distribution probability of the movies on each theme through calculation of the LDA model; uniformly dividing 24 hours of a day into a plurality of time periods, and obtaining user feature vectors according to historical records of movies watched by users within different time periods; deducing the member composition of the users according to the distribution probability of the users on each theme, and then analyzing the active time period of each user in a family in combination with the user feature vectors; and when the television is turned on again, finding the corresponding user feature vector according to the time period of the turn-on time, finding the favorite movie theme of the user according to the user feature vector, deducing a family member category, and recommending programs.

Description

technical field [0001] The invention relates to a method for analyzing family members of a television user based on an LDA (LatentDirichletAllocation) model, belonging to the fields of smart television and machine learning. Background technique [0002] With the advent of the Internet era and the era of big data, and the rapid development of smart Internet TV, the TV programs people watch are not limited to live TV programs. Through the Internet, TV users can choose more conveniently and quickly according to their interests. Or hit movies. The information overload problem caused by the rapid growth of the order of magnitude of movies has brought a lot of troubles to users, making it impossible for users to accurately and efficiently obtain the movies they are interested in. The rapid growth of the Internet has brought about the problem of information overload. The simultaneous presentation of excessive information makes it impossible for users to quickly and conveniently ob...

Claims

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Application Information

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IPC IPC(8): H04N21/45H04N21/466
CPCH04N21/4532H04N21/4661H04N21/4668
Inventor 曹叶文雷鹏
Owner SHANDONG UNIV
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