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Recommender system

Known as: Recommendation search engines, IPTV Recommendations, TV Recommender system 
Recommender systems or recommendation systems (sometimes replacing "system" with a synonym such as platform or engine) are a subclass of information… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
Reviews information is dominant for users to make online purchasing decisions in e-commerces. However, the usefulness of reviews… Expand
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Review
2018
Review
2018
Recommender systems use algorithms to provide users with product or service recommendations. Recently, these systems have been… Expand
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Review
2018
Review
2018
Recommender systems are one of the most successful applications of data mining and machine-learning technology in practice… Expand
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Review
2018
Review
2018
Many recent state-of-the-art recommender systems such as D-ATT, TransNet and DeepCoNN exploit reviews for representation learning… Expand
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Review
2018
Review
2018
Sentiment analysis has been applied to various software engineering (SE) tasks, such as evaluating app reviews or analyzing… Expand
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Review
2017
Review
2017
Dialogue systems have attracted more and more attention. Recent advances on dialogue systems are overwhelmingly contributed by… Expand
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Review
2017
Review
2017
The verity of results about a psychological construct hinges on the validity of its measurement, making construct validation a… Expand
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Review
2017
Review
2017
The success of deep learning has been a catalyst to solving increasingly complex machine-learning problems, which often involve… Expand
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Review
2017
Review
2017
The Web has accumulated a rich source of information, such as text, image, rating, etc, which represent different aspects of user… Expand
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Review
2017
Review
2017
Diversification has become one of the leading topics of recommender system research not only as a way to solve the over-fitting… Expand
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