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Information Technology & Tourism, 2010
Mobile phones are becoming a primary platform for information access and when coupled with recommender systems technologies they can become key tools for mobile users both for leisure and business applications. Recommendation techniques can increase the usability of mobile systems providing personalized and more focussed content, hence limiting the ...
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Mobile phones are becoming a primary platform for information access and when coupled with recommender systems technologies they can become key tools for mobile users both for leisure and business applications. Recommendation techniques can increase the usability of mobile systems providing personalized and more focussed content, hence limiting the ...
openaire +1 more source
A Knowledge-Based Recommendation System That Includes Sentiment Analysis and Deep Learning
IEEE Transactions on Industrial Informatics, 2019Online social networks provide relevant information on users’ opinion about different themes. Thus, applications, such as monitoring and recommendation systems (RS) can collect and analyze this data.
R. L. Rosa +3 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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Recommender Systems with Personality
Proceedings of the 10th ACM Conference on Recommender Systems, 2016We believe that in the future, the most common form of recommender systems will be present in a personal assistant. We claim that such an intelligent agent must be personal, i.e., know its user's preferences and recommend relevant content, a dynamic learner, instructable, supportive and affable.
Amos Azaria, Jason I. Hong
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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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Federated Recommendation Systems
2019 IEEE International Conference on Big Data (Big Data), 2019Despite its great progress so far, artificial intelligence (AI) is facing a serious challenge in the availability of high-quality Big Data. In many practical applications, data are in the form of isolated islands. Efforts to integrate the data are increasingly difficult partly due to serious concerns over user privacy and data security.
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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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