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ICDE
2012
IEEE
257views Database» more  ICDE 2012»
7 years 2 months ago
LARS: A Location-Aware Recommender System
Abstract—This paper proposes LARS, a location-aware recommender system that uses location-based ratings to produce recommendations. Traditional recommender systems do not conside...
Justin J. Levandoski, Mohamed Sarwat, Ahmed Eldawy...
ECWEB
2011
Springer
277views ECommerce» more  ECWEB 2011»
7 years 11 months ago
InCarMusic: Context-Aware Music Recommendations in a Car
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 ...
Linas Baltrunas, Marius Kaminskas, Bernd Ludwig, O...
IFIPTM
2009
171views Management» more  IFIPTM 2009»
8 years 9 months ago
Trust-Enhanced Recommender Systems for Efficient On-Line Collaboration
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...
Georgios Pitsilis
ICTAI
2010
IEEE
8 years 10 months ago
Comparing Approaches to Preference Dominance for Conversational Recommenders
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...
Walid Trabelsi, Nic Wilson, Derek G. Bridge, Franc...
GROUP
2010
ACM
8 years 10 months ago
Towards a group recommender process model for ad-hoc groups and on-demand recommendations
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...
Christoph Beckmann, Tom Gross
CORR
2010
Springer
114views Education» more  CORR 2010»
8 years 10 months ago
Efficiently Discovering Hammock Paths from Induced Similarity Networks
ty networks are important abstractions in many information management applications such as recommender systems, corpora analysis, and medical informatics. For instance, in a recom...
M. Shahriar Hossain, Michael Narayan, Naren Ramakr...
SOCINFO
2010
8 years 10 months ago
Social Manipulation of Online Recommender Systems
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...
Juan Lang, Matt Spear, Shyhtsun Felix Wu
PROCEDIA
2010
157views more  PROCEDIA 2010»
8 years 10 months ago
Recommender system for predicting student performance
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...
Nguyen Thai-Nghe, Lucas Drumond, Artus Krohn-Grimb...
NGC
2008
Springer
165views Communications» more  NGC 2008»
8 years 10 months ago
Hyperlink Recommendation Based on Positive and Negative Association Rules
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 ...
Przemyslaw Kazienko, Marcin Pilarczyk
CORR
2002
Springer
132views Education» more  CORR 2002»
8 years 11 months ago
Exploiting Synergy Between Ontologies and Recommender Systems
Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries. Recommender sys...
Stuart E. Middleton, Harith Alani, David De Roure
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