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

Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering

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

© 2019 Linas Baltrunas - Context Aware Recommender Systems

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