Add to ORKGWe introduce an application combining CBR and collaborative filtering techniques in the music domain. We describe a scenario in which a new kind of recommendation is required suitable to summarize in one suggestion many recommendations. Our claim is that to recommend a set of goods is different from recommending many times a single good. The paper illustrates how a case-based reasoning approach can provide an effective solution to this problem reducing the drawbacks related to the user profiles. CoCoA, a compilation compiler advisor, will be described as a running example of a collaborative case-based recommendation syste
Recommender systems can assist with decision-making by delivering a list of item recommendations tai...
21st International Conference (ICCBR 2013) Saratoga Springs, New York, USA, 8 - 11 July, 2013Case-ba...
International audienceContext-aware recommendation became a major topic of interest within the recom...
We introduce an application combining CBR and collaborative filtering techniques in the music domain...
We introduce an application combining CBR and collaborative filtering techniques in the music domain...
Typically, case-based recommender systems recommend single items to the on-line customer. In this pa...
We introduce an application combining CBR and collaborative filtering techniques in the music domain...
In the context of PTV, an applied recommender system operating in the TV listings domain, we are exa...
Recommender Systems have become a fundamental part of various applications supporting users...
This paper presents a unifying framework to model casebased reasoning recommender systems (CBR-RS). ...
Abstract—In our modern ubiquitously connected world the amount of ever available product and service...
The paper describes an approach of using the case-based reasoning methodology in context-aware syste...
For a group of friends going to a concert or a festival, finding concerts that everyone is happy wit...
Case-based reasoning (CBR), as one of the problem solving paradigms in the field of Artificial Intel...
This paper proposes a co-operation framework for multiple role-based case-based reasoning (CBR) agen...
Recommender systems can assist with decision-making by delivering a list of item recommendations tai...
21st International Conference (ICCBR 2013) Saratoga Springs, New York, USA, 8 - 11 July, 2013Case-ba...
International audienceContext-aware recommendation became a major topic of interest within the recom...
We introduce an application combining CBR and collaborative filtering techniques in the music domain...
We introduce an application combining CBR and collaborative filtering techniques in the music domain...
Typically, case-based recommender systems recommend single items to the on-line customer. In this pa...
We introduce an application combining CBR and collaborative filtering techniques in the music domain...
In the context of PTV, an applied recommender system operating in the TV listings domain, we are exa...
Recommender Systems have become a fundamental part of various applications supporting users...
This paper presents a unifying framework to model casebased reasoning recommender systems (CBR-RS). ...
Abstract—In our modern ubiquitously connected world the amount of ever available product and service...
The paper describes an approach of using the case-based reasoning methodology in context-aware syste...
For a group of friends going to a concert or a festival, finding concerts that everyone is happy wit...
Case-based reasoning (CBR), as one of the problem solving paradigms in the field of Artificial Intel...
This paper proposes a co-operation framework for multiple role-based case-based reasoning (CBR) agen...
Recommender systems can assist with decision-making by delivering a list of item recommendations tai...
21st International Conference (ICCBR 2013) Saratoga Springs, New York, USA, 8 - 11 July, 2013Case-ba...
International audienceContext-aware recommendation became a major topic of interest within the recom...