ICDE
2012
IEEE
12 years 1 months ago
2012
IEEE
Abstract—This paper proposes LARS, a location-aware recommender system that uses location-based ratings to produce recommendations. Traditional recommender systems do not conside...
ECWEB
2011
Springer
12 years 11 months ago
2011
Springer
Context aware recommender systems (CARS) adapt to the specific situation in which the recommended item will be consumed. So, for instance, music recommendations while the user is ...
IFIPTM
2009
13 years 9 months ago
2009
Trust has been explored by many researchers in the past as a solution for assisting the process of recommendation production. In this work we are examining the feasibility of build...
ICTAI
2010
IEEE
13 years 9 months ago
2010
IEEE
A conversational recommender system iteratively shows a small set of options for its user to choose between. In order to select these options, the system may analyze the queries tr...
GROUP
2010
ACM
13 years 9 months ago
2010
ACM
Movie recommender systems simplify the movie selection by providing movie suggestions based on the respective user's personal taste. Most of the current systems address indiv...
CORR
2010
Springer
13 years 9 months ago
2010
Springer
ty networks are important abstractions in many information management applications such as recommender systems, corpora analysis, and medical informatics. For instance, in a recom...
SOCINFO
2010
13 years 9 months ago
2010
Abstract. Online recommender systems are a common target of attack. Existing research has focused on automated manipulation of recommender systems through the creation of shill acc...
PROCEDIA
2010
13 years 9 months ago
2010
Recommender systems are widely used in many areas, especially in e-commerce. Recently, they are also applied in e-learning tasks such as recommending resources (e.g. papers, books...
NGC
2008
Springer
13 years 10 months ago
2008
Springer
The new HRS method for hyperlink recommendation based on positive and confined negative association rules is presented in the paper. Discovered with the new PANAMA algorithm rules ...
CORR
2002
Springer
13 years 11 months ago
2002
Springer
Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries. Recommender sys...