Results 31 to 40 of about 66,899 (270)
Geographic information recommender system optimized by transportation network data
In view of the problem that current context-aware recommender systems take users and systems as the main research direction and do not consider actual transportation network location characteristics,this article introduces a geographic information ...
SHAO Kuo-yi +3 more
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Geosocial recommender systems [PDF]
Daily life is full of location-related decisions: where to go on vacation, which house to buy, which job to apply for, etc. These decisions are not only influenced by the characteristics of this holiday home, house, or company, but also by the region it is located in.
openaire +2 more sources
Teacher-centric educational recommender systems in K12 practice: Usage and evaluation
Personalized learning is hard to apply in classroom practice due to the workload of teachers. Recommender systems can help teachers make choices and hence personalize the learning environment.
Sohum M. Bhatt +2 more
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An Obfuscated Attack Detection Approach for Collaborative Recommender Systems
In recent times, we have loads and loads of information available over the Internet. It has become very cumbersome to extract relevant information out of this huge amount of information available.
Saakshi Kapoor +2 more
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Quantum Recommendation Systems
22 ...
Kerenidis, Iordanis, Prakash, Anupam
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An Agent Framework of Tourism Recommender System
This paper proposes the development of an Agent framework for tourism recommender system. The recommender system can be featured as an online web application which is capable of generating a personalized list of preference attractions for tourists ...
Jia Zhi Yang, Gao Wei, Shi Yi Jin
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Improving electronic customers' profile in recommender systems using data mining techniques [PDF]
Recommender systems are tools for realization one to one marketing. Recommender systems are systems, which attract, retain, and develop customers. Recommender systems use several ways to make recommendations.
Mohammad Julashokri +3 more
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Hybrid group recommendations for a travel service [PDF]
Recommendation techniques have proven their usefulness as a tool to cope with the information overload problem in many classical domains such as movies, books, and music.
De Pessemier, Toon +2 more
core +1 more source
In the era of big data, artificial intelligence (AI) algorithms have the potential to revolutionize healthcare by improving patient outcomes and reducing healthcare costs.
Talha Iqbal +8 more
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Sparks of Artificial General Recommender (AGR): Experiments with ChatGPT
This study investigates the feasibility of developing an Artificial General Recommender (AGR), facilitated by recent advancements in Large Language Models (LLMs). An AGR comprises both conversationality and universality to engage in natural dialogues and
Guo Lin, Yongfeng Zhang
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