A hybrid recommendation approach using LDA and probabilistic matrix factorization
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DOI: 10.1007/s10586-018-1972-y
Abstract: Recommender systems provide users with suggestions and selections. Hybrid approaches which combine the neighborhood-based methods and the model-based methods have become popular when building collaborative filtering recommenders, but similarity is established between users/items only by… read more here.
Keywords: probabilistic matrix; matrix factorization; recommendation approach; approach ... See more keywords
A Place Recommendation Approach Using Word Embeddings in Conceptual Spaces
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DOI: 10.1109/access.2023.3241806
Abstract: The way that computing systems digest geographic space is fundamentally different from people’s understanding of space. In human discourse, a geographic space is referred to by a place name, and the reasoning about a place… read more here.
Keywords: recommendation approach; space; conceptual space; place ... See more keywords
A Hybrid E-Learning Recommendation Approach Based on Learners’ Influence Propagation
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DOI: 10.1109/tkde.2019.2895033
Abstract: In e-learning recommender systems, interpersonal information between learners is very scarce, which makes it difficult to apply collaborative filtering (CF) techniques to achieve recommendations. In this study, we propose a hybrid filtering recommendation approach ($SI-IFL$SI-IFL)… read more here.
Keywords: recommendation approach; mml; math; influence propagation ... See more keywords
A Hybrid Recommendation Approach for Viral Food Based on Online Reviews
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DOI: 10.3390/foods10081801
Abstract: Nowadays, there are many types of viral foods and consumers expect to be able to quickly find foods that meet their own tastes. Traditional recommendation systems make recommendations based on the popularity of viral foods… read more here.
Keywords: hybrid recommendation; recommendation; recommendation approach; viral food ... See more keywords