Recent research has unveiled the importance of online social networks for improving the quality o... more Recent research has unveiled the importance of online social networks for improving the quality of recommender systems and encouraged the research community to investigate better ways of exploiting the social information for recommendations. While most of the research focused on enhancing a traditional source of data (e.g., ratings, implicit feedback, or tags) with some type of social information, little is known about how different sources of social data can be combined with other types of information relevant for recommendation. To contribute to this sparse field of research, in this paper we exploit users' interactions along three dimensions of relevance (social, transactional, and location) to assess their performance in a barely studied domain: recommending items to people in an online marketplace environment. To that and we defined sets of user similarity measures for each dimension of relevance and studied them isolated and in combination via hybrid recommender approaches...
Recent research has unveiled the importance of online social networks for improving the quality o... more Recent research has unveiled the importance of online social networks for improving the quality of recommender systems and encouraged the research community to investigate better ways of exploiting the social information for recommendations. While most of the research focused on enhancing a traditional source of data (e.g., ratings, implicit feedback, or tags) with some type of social information, little is known about how different sources of social data can be combined with other types of information relevant for recommendation. To contribute to this sparse field of research, in this paper we exploit users' interactions along three dimensions of relevance (social, transactional, and location) to assess their performance in a barely studied domain: recommending items to people in an online marketplace environment. To that and we defined sets of user similarity measures for each dimension of relevance and studied them isolated and in combination via hybrid recommender approaches...
Uploads