Location-Adapted Music Recommendation Using Tags

Abstract

Abstract. Context-aware music recommender systems are capable to suggest music items taking into consideration contextual conditions, such as the user mood or location, that may influence the user preferences at a particular moment. In this paper we consider a particular kind of context aware recommendation task -selecting music content that fits a place of interest (POI). To address this problem we have used emotional tags attached by a users' population to both music and POIs. Moreover, we have considered a set of similarity metrics for tagged resources to establish a match between music tracks and POIs. In order to test our hypothesis, i.e., that the users will reckon that a music track suits a POI when this track is selected by our approach, we have designed a live user experiment where subjects are repeatedly presented with POIs and a selection of music tracks, some of them matching the presented POI and some not. The results of the experiment show that there is a strong overlap between the users' selections and the best matching music that is recommended by the system for a POI.

Mining Semantic Data, User Generated Contents, and Contextual Information for Cross-Domain Recommendation

“…Social tags have also been used to establish relations between items of different domains. In [4] Kaminskas and Ricci show that emotional tags can be used to effectively select music that fits places of interest. Shi et al [8] utilize tags to build inter-domain user-to-user and item-to-item similarities.…”

“…As shown in [4] and [8] tags can play the role of a common feature space for user/item profiles from distinct domains. In [4] Kaminskas and Ricci show that a limited set of emotional tags assigned to both music and places can reveal latent similarities between both types of items.…”

“…In [4] Kaminskas and Ricci show that a limited set of emotional tags assigned to both music and places can reveal latent similarities between both types of items. In [8] Shi et al use the tags common to two folksonomies for computing similarities between users/items in the folksonomies' domains.…”

Cold-Start Management with Cross-Domain Collaborative Filtering and Tags

“…Tags have been shown in previous research to be useful for matching items in one domain with those in others [3,4,5]. Our proposed technique relies on the usual overlap between the tag vocabularies used in different domains.…”

Cross-domain Recommendations for Personalized Semantic Services

“…In fact, joint recommendations in multiple domains are sometime needed for a customer. For instance, a system suggests not only a particular movie but also music CDs and books that are somehow related to that movie [2]- [7]- [5]- [12]. Such types are cross-domain recommendations.…”