Results 31 to 40 of about 85,662 (301)
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
doaj +1 more source
A recommender system for process discovery [PDF]
Over the last decade, several algorithms for process discovery and process conformance have been proposed. Still, it is well-accepted that there is no dominant algorithm in any of these two disciplines, and then it is often difficult to apply them ...
A. Rozinat +8 more
core +4 more sources
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
doaj +1 more source
Exploiting synergy between ontologies and recommender systems [PDF]
Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries.
Alani, Harith +3 more
core +3 more sources
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
doaj +1 more source
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
doaj +1 more source
Quantum Recommendation Systems
22 ...
Kerenidis, Iordanis, Prakash, Anupam
openaire +5 more sources
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
doaj +1 more source
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
doaj

