More and more people are using smartphones and other mobile devices as their main means for information access. This is especially true for travelers, and mobile applications …
The exponentially growing availability of online information calls for personalized search and recommendation. Such systems provide recommendations typically based on user …
Context-aware recommender systems have received considerable attention from industry and academic areas. In this paper, we pay heed to the growing interest in integrating context …
D Herzog, W Wörndl - Proceedings of the 27th ACM Conference on User …, 2019 - dl.acm.org
Tourist groups exploring a city often face the problem of finding a sequence of points of interest that satisfies all group members. In this work, we present three different …
To simplify effective music filtering, recommender systems (RS) have received great attention from both industry and academia area. To select which music to recommend …
The rapid growth of web information provides excellent opportunities for developing various e-services applications in many domains. However, it has also caused information overload …
Point of interest (POI) recommender systems for location-based social networks, such as Foursquare or Yelp, have gained tremendous popularity in the past few years. Much work …
C Trattner, A Oberegger, L Eberhard… - RecTour …, 2016 - dparra.sitios.ing.uc.cl
Understanding the Impact of Weather for POI Recommendations Page 1 SCIENCE PASSION TECHNOLOGY http://know-center.tugraz.at/ Understanding the Impact of Weather for POI …
Inferring user intent in recommender systems can help performance but is difficult because intent is personal and not directly observable. Previous work has leveraged signals to stand …