Abstract:
The recommendation system is important in today’s world and is employed by many famous apps. A recommendations system is one that suggests books, movies, music, and other...Show MoreMetadata
Abstract:
The recommendation system is important in today’s world and is employed by many famous apps. A recommendations system is one that suggests books, movies, music, and other resources to users based on a data collection. Typically, movie recommendation algorithms anticipate what movies a user would enjoy based on the characteristics of previously loved movies. The algorithms can propose movies based on one or more criteria such as the genre of the film, the people in it, or even the director of the film. The method used is content-based filtering with genre correlation.
Published in: 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS)
Date of Conference: 17-19 May 2023
Date Added to IEEE Xplore: 08 June 2023
ISBN Information:
ISSN Information:
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- IEEE Keywords
- Index Terms
- Recommender Systems ,
- Sentiment Analysis ,
- Movie Recommendation ,
- Film Director ,
- Recommendation Algorithm ,
- Volume Of Data ,
- Metadata ,
- Sparsity ,
- K-nearest Neighbor ,
- Detailed Review ,
- System Architecture ,
- Front End ,
- Input Modalities ,
- Term Frequency ,
- Maximum A Posteriori ,
- Closest Neighbors ,
- Collaborative Filtering ,
- Film Criticism ,
- Vector Space Model ,
- Web Scraping ,
- Naive Bayes ,
- Naive Bayes Algorithm ,
- Bayesian Classifier ,
- Cold Start ,
- K-nearest Neighbor Method ,
- Machine Learning
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Recommender Systems ,
- Sentiment Analysis ,
- Movie Recommendation ,
- Film Director ,
- Recommendation Algorithm ,
- Volume Of Data ,
- Metadata ,
- Sparsity ,
- K-nearest Neighbor ,
- Detailed Review ,
- System Architecture ,
- Front End ,
- Input Modalities ,
- Term Frequency ,
- Maximum A Posteriori ,
- Closest Neighbors ,
- Collaborative Filtering ,
- Film Criticism ,
- Vector Space Model ,
- Web Scraping ,
- Naive Bayes ,
- Naive Bayes Algorithm ,
- Bayesian Classifier ,
- Cold Start ,
- K-nearest Neighbor Method ,
- Machine Learning
- Author Keywords