PUBLICATIONS
2010 Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering cited as “Top-5 most rated papers according to the ACM digital library (out of a list of 925 papers published). These five papers account for ~ 12% of all the RecSys conference papers citations!”
Selected Publications
A Karatzoglou, X Amatriain, L Baltrunas, N Oliver
Proceedings of the fourth ACM conference on Recommender systems, 79-86
Session-based recommendations with recurrent neural networks
B Hidasi, A Karatzoglou, L Baltrunas, D Tikk
arXiv preprint arXiv:1511.06939
Group recommendations with rank aggregation and collaborative filtering
L Baltrunas, T Makcinskas, F Ricci
Proceedings of the fourth ACM conference on Recommender systems, 119-126
CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering
Y Shi, A Karatzoglou, L Baltrunas, M Larson, N Oliver, A Hanjalic
Proceedings of the sixth ACM conference on Recommender systems, 139-146
Context relevance assessment and exploitation in mobile recommender systems
L Baltrunas, B Ludwig, S Peer, F Ricci
Personal and Ubiquitous Computing 16 (5), 507-526
Towards time-dependant recommendation based on implicit feedback
L Baltrunas, X Amatriain
Workshop on context-aware recommender systems (CARS’09), 25-30
Matrix factorization techniques for context aware recommendation
L Baltrunas, B Ludwig, F Ricci
Proceedings of the fifth ACM conference on Recommender systems, 301-304
TFMAP: optimizing MAP for top-n context-aware recommendation
Y Shi, A Karatzoglou, L Baltrunas, M Larson, A Hanjalic, N Oliver
Proceedings of the 35th international ACM SIGIR conference on Research and …
Incarmusic: Context-aware music recommendations in a car
L Baltrunas, M Kaminskas, B Ludwig, O Moling, F Ricci, A Aydin, KH Lüke, ...
International Conference on Electronic Commerce and Web Technologies, 89-100
Context-based splitting of item ratings in collaborative filtering
L Baltrunas, F Ricci
Proceedings of the third ACM conference on Recommender systems, 245-248
Climbing the app wall: enabling mobile app discovery through context-aware recommendations
A Karatzoglou, L Baltrunas, K Church, M Böhmer
Proceedings of the 21st ACM international conference on Information and …
Experimental evaluation of context-dependent collaborative filtering using item splitting
L Baltrunas, F Ricci
User Modeling and User-Adapted Interaction 24 (1-2), 7-34
Learning to rank for recommender systems
A Karatzoglou, L Baltrunas, Y Shi
Proceedings of the 7th ACM conference on Recommender systems, 493-494
Coverage, redundancy and size-awareness in genre diversity for recommender systems
S Vargas, L Baltrunas, A Karatzoglou, P Castells
Proceedings of the 8th ACM Conference on Recommender systems, 209-216
Context-aware places of interest recommendations for mobile users
L Baltrunas, B Ludwig, S Peer, F Ricci
International Conference of Design, User Experience, and Usability, 531-540
Gaussian process factorization machines for context-aware recommendations
TV Nguyen, A Karatzoglou, L Baltrunas
Proceedings of the 37th international ACM SIGIR conference on Research …
Context-dependent items generation in collaborative filtering
L Baltrunas, F Ricci
Proceedings of the 2009 Workshop on Context-Aware Recommender Systems, 22-25
xCLiMF: optimizing expected reciprocal rank for data with multiple levels of relevance
Y Shi, A Karatzoglou, L Baltrunas, M Larson, A Hanjalic
Proceedings of the 7th ACM conference on Recommender systems, 431-434
Exploiting contextual information in recommender systems
L Baltrunas
Proceedings of the 2008 ACM conference on Recommender systems, 295-298
Cars2: Learning context-aware representations for context-aware recommendations
Y Shi, A Karatzoglou, L Baltrunas, M Larson, A Hanjalic
Proceedings of the 23rd ACM International Conference on Conference on …
Best usage context prediction for music tracks
L Baltrunas, M Kaminskas, F Ricci, L Rokach, B Shapira, KH Luke
Proceedings of the 2nd Workshop on Context Aware Recommender Systems
Locally adaptive neighborhood selection for collaborative filtering recommendations
L Baltrunas, F Ricci
International Conference on Adaptive Hypermedia and Adaptive Web-Based …
Context relevance assessment for recommender systems
L Baltrunas, B Ludwig, F Ricci
Proceedings of the 16th international conference on Intelligent user …
Frappe: Understanding the usage and perception of mobile app recommendations in-the-wild
L Baltrunas, K Church, A Karatzoglou, N Oliver
arXiv preprint arXiv:1505.03014
Optimal radio channel recommendations with explicit and implicit feedback
O Moling, L Baltrunas, F Ricci
Proceedings of the sixth ACM conference on Recommender systems, 75-82