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A method for personalized recommendation of film and television resources in a social network environment

A technology of film and television resources and social network, which is applied in the field of personalized recommendation of film and television resources, can solve problems such as influence, and achieve the effect of accurate emotional tendency and precise recommendation

Active Publication Date: 2022-07-26
HUNAN UNIV OF TECH
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

However, the PLTS-VIKOR method assumes that the decision-maker is completely rational, which is always unsatisfactory in actual situations. will be influenced by subjective

Method used

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  • A method for personalized recommendation of film and television resources in a social network environment
  • A method for personalized recommendation of film and television resources in a social network environment
  • A method for personalized recommendation of film and television resources in a social network environment

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Experimental program
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Embodiment 1

[0060] like figure 1 As shown, a personalized recommendation method for video resources in a social network environment includes the following steps:

[0061] S1: Online review acquisition and preprocessing. The present invention uses the octopus collector to obtain the movie online review data on the Rotten Tomatoes website, and obtains a total of 11957 online reviews, of which AvengersEndgame (x 1 ) 2219, KnivesOut(x 2 ) 2589, Parasite (Gisaengchung) (x 3 ) 2436, ToyStory4(x 4 )2352, Us(x 5 ) 2361. Since the obtained original online comment data may have words that are irrelevant to the viewer's attitude, repeated and invalid, the present invention uses the python library-Natural Language Toolkit (NLTK) to preprocess the online comment data to perform Remove stop words, lemmatization, synonyms and other operations.

[0062] S2: Calculation of online comment sentiment value:

[0063] S2.1: Use the natural language library TextBlob to calculate the sentiment value of o...

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Abstract

A method for personalized recommendation of film and television resources in a social network environment, belonging to the technical field of data analysis and push, comprising the following steps: S1: online comment acquisition and preprocessing, S2: online comment sentiment value calculation, and S3: movie viewing decision criteria and weights OK, S4: Sorting of film and television resources: Combining the probability language decision matrix, value function, and weight function to obtain movie x i The comprehensive prospect value of , the larger the comprehensive prospect value, the more worthy of recommendation, and the higher the ranking. The present invention fully considers the influence of irrational factors such as the viewer's psychological behavior on the viewer's decision-making while considering various objective factors, so that the recommendation of film and television resources is more realistic and accurate.

Description

technical field [0001] The invention belongs to the technical field of data analysis and push, and more particularly, relates to a method for personalized recommendation of film and television resources in a social network environment. Background technique [0002] In the field of video resource recommendation, the breadth of object orientation determines the complexity of recommendation work. The recommendation of film and television resources should not only pay attention to the changes in the political environment, economic environment, social environment and other related conditions, but also fully consider the individual needs of moviegoers. Different moviegoers often pay different attention to the same movie and television resources. Their evaluations will also vary widely. Especially in this era of rapid development of the Internet, the online comment data of moviegoers has exploded. In order to ensure the efficiency and accuracy of movie resource recommendation, mov...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/735G06F16/9535
CPCG06F16/735G06F16/9535
Inventor 周欢马浩南
Owner HUNAN UNIV OF TECH
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