Exploiting Aesthetic Features in Visual Contents for Movie Recommendation
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DOI: 10.1109/access.2019.2910722
Abstract: As one of the most widely used recommender systems, movie recommendation plays an important role in our life. However, the data sparsity problem severely hinders the effectiveness of personalized movie recommendation, which requires more rich… read more here.
Keywords: movie; exploiting aesthetic; aesthetic features; visual contents ... See more keywords
An Integrated PCA-DAEGCN Model for Movie Recommendation in the Social Internet of Things
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3111614
Abstract: With the development of the Social Internet of Things (SIoT) and mobile technologies in recent years, movie recommendation systems have become popular in online movie recommendation that users may like to watch based on their… read more here.
Keywords: pca daegcn; movie; model; internet things ... See more keywords
Personalized Movie Recommendation Method Based on Deep Learning
Sign Up to like & getrecommendations! Published in 2021 at "Mathematical Problems in Engineering"
DOI: 10.1155/2021/6694237
Abstract: With the rapid development of network technology and entertainment creation, the types of movies have become more and more diverse, which makes users wonder how to choose the type of movies. In order to improve… read more here.
Keywords: recommendation; movie recommendation; deep learning; personalized movie ... See more keywords
Hash-based and privacy-aware movie recommendations in a big data environment
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DOI: 10.1504/ijes.2020.10025052
Abstract: Movie recommendation is an important activity in the people's daily entertainment. Typically, through analysing the users' ever-watched movie list, a movie recommender system can recommend appropriate new movies to the target user. However, traditional movie… read more here.
Keywords: privacy aware; recommendation; hash based; movie recommendation ... See more keywords
Movie Recommendation through Multiple Bias Analysis
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DOI: 10.3390/app11062817
Abstract: A recommender system (RS) refers to an agent that recommends items that are suitable for users, and it is implemented through collaborative filtering (CF). CF has a limitation in improving the accuracy of recommendations based… read more here.
Keywords: multiple bias; bias analysis; analysis; movie recommendation ... See more keywords