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Timeliness in recommender systems
Expert Systems with Applications, 2017Abstract Due to the high efficiency in finding the most relevant online products for users from the information ocean, recommender systems have now been applied to many commercial web sites. Meanwhile, many recommendation algorithms have been developed to improve the recommendation accuracy and diversity.
Fuguo Zhang, Qihua Liu, An Zeng
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Interacting with Recommender Systems
Companion Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017Automated recommendations have become a common feature of modern online services and mobile apps. In many practical applications, the means provided for users to interact with recommender systems (e.g., to state explicit preferences or to provide feedback on the recommendations) are, however, very limited.
Dietmar Jannach +2 more
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Sentiment analysis-based recommendation system for agricultural products
International journal of information technology, 2023Anjali Sharma +3 more
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The Review of Recommendation System
2019With the development of the Internet, the amount of information continues to increase, and the problem of “information overloading” is becoming more and more obvious. Simple information retrieval can no longer satisfies the needs of users to search for accurate information, and the recommendation system emerges.
Ning Wang, Hui Zhao, Xue Zhu, Nan Li
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Tourism recommendation system: a survey and future research directions
Multimedia tools and applications, 2022J. Sarkar +4 more
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Introduction to recommender systems
Proceedings of the 2008 ACM SIGMOD international conference on Management of data, 2008Recommender systems help users find the information, products, and other people they most want to find. This tutorial provides participants with a hands-on learning experience about using recommender system technologies. After completing this tutorial, participants will understand the range of technologies being used for recommender systems, including ...
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Personalized recommendation system based on knowledge embedding and historical behavior
Applied intelligence (Boston), 2021Bei Hui +4 more
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Overview of Rest-Mex at IberLEF 2021: Recommendation System for Text Mexican Tourism
Proces. del Leng. Natural, 2021Miguel A. Alvarez-Carmona +8 more
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Privacy in Recommender Systems
2018The upsurge in the number of web users over the last two decades has resulted in a significant growth of online information. Recommenders are machine learning approach and are becoming one of the main ways to navigate the Internet. They recommend appropriate items to users based on their clicks, i.e., likes, ratings, purchases, etc.
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