Matches in SemOpenAlex for { <https://semopenalex.org/work/W2973608718> ?p ?o ?g. }
- W2973608718 abstract "Today, Internet is one of the widest available media worldwide. Recommendation systems are increasingly being used in various applications such as movie recommendation, mobile recommendation, article recommendation and etc. Collaborative Filtering (CF) and Content-Based (CB) are Well-known techniques for building recommendation systems. Topic modeling based on LDA, is a powerful technique for semantic mining and perform topic extraction. In the past few years, many articles have been published based on LDA technique for building recommendation systems. In this paper, we present taxonomy of recommendation systems and applications based on LDA. In addition, we utilize LDA and Gibbs sampling algorithms to evaluate ISWC and WWW conference publications in computer science. Our study suggest that the recommendation systems based on LDA could be effective in building smart recommendation system in online communities." @default.
- W2973608718 created "2019-09-26" @default.
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- W2973608718 date "2019-09-20" @default.
- W2973608718 modified "2023-09-26" @default.
- W2973608718 title "Natural Language Processing via LDA Topic Model in Recommendation Systems" @default.
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