Linas Baltrunas

According to our database, Linas Baltrunas authored at least 33 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Contextual Multi-Armed Bandit for Email Layout Recommendation.

Yan Chen, Emilian Vankov, Linas Baltrunas, Preston Donovan, Akash Mehta, Benjamin Schroeder, Matthew Herman

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

WANDS: Dataset for Product Search Relevance Assessment.

Yan Chen, Shujian Liu, Zheng Liu, Weiyi Sun, Linas Baltrunas, Benjamin Schroeder

Proceedings of the Advances in Information Retrieval, 2022

2021

Deep Learning for Recommender Systems: A Netflix Case Study.

Harald Steck, Linas Baltrunas, Ehtsham Elahi, Dawen Liang, Yves Raimond, Justin Basilico

AI Mag., 2021

2016

Session-based Recommendations with Recurrent Neural Networks.

Balázs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, Domonkos Tikk

Proceedings of the 4th International Conference on Learning Representations, 2016

2015

Frappe: Understanding the Usage and Perception of Mobile App Recommendations In-The-Wild.

Linas Baltrunas, Karen Church, Alexandros Karatzoglou, Nuria Oliver

CoRR, 2015

Boredom-Triggered Proactive Recommendations.

Martin Pielot, Linas Baltrunas, Nuria Oliver

Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, 2015

2014

Experimental evaluation of context-dependent collaborative filtering using item splitting.

Linas Baltrunas, Francesco Ricci

User Model. User Adapt. Interact., 2014

Gaussian process factorization machines for context-aware recommendations.

Trung V. Nguyen, Alexandros Karatzoglou, Linas Baltrunas

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Coverage, redundancy and size-awareness in genre diversity for recommender systems.

Saúl Vargas, Linas Baltrunas, Alexandros Karatzoglou, Pablo Castells

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

CARS2: Learning Context-aware Representations for Context-aware Recommendations.

Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

xCLiMF: optimizing expected reciprocal rank for data with multiple levels of relevance.

Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Learning to rank for recommender systems.

Alexandros Karatzoglou, Linas Baltrunas, Yue Shi

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

CLiMF: Collaborative Less-Is-More Filtering.

Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Nuria Oliver, Alan Hanjalic

Proceedings of the IJCAI 2013, 2013

GAPfm: optimal top-n recommendations for graded relevance domains.

Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Context relevance assessment and exploitation in mobile recommender systems.

Linas Baltrunas, Bernd Ludwig, Stefan Peer, Francesco Ricci

Pers. Ubiquitous Comput., 2012

TFMAP: optimizing MAP for top-n context-aware recommendation.

Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic, Nuria Oliver

Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering.

Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Nuria Oliver, Alan Hanjalic

Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Optimal radio channel recommendations with explicit and implicit feedback.

Omar Moling, Linas Baltrunas, Francesco Ricci

Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

4th workshop on context-aware recommender systems (CARS 2012).

Gediminas Adomavicius, Linas Baltrunas, Ernesto William De Luca, Tim Hussein, Alexander Tuzhilin

Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Climbing the app wall: enabling mobile app discovery through context-aware recommendations.

Alexandros Karatzoglou, Linas Baltrunas, Karen Church, Matthias Böhmer

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Matrix factorization techniques for context aware recommendation.

Linas Baltrunas, Bernd Ludwig, Francesco Ricci

Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

3rd workshop on context-aware recommender systems (CARS 2011).

Gediminas Adomavicius, Linas Baltrunas, Tim Hussein, Francesco Ricci, Alexander Tuzhilin

Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Context relevance assessment for recommender systems.

Linas Baltrunas, Bernd Ludwig, Francesco Ricci

Proceedings of the 16th International Conference on Intelligent User Interfaces, 2011

Context-Aware Places of Interest Recommendations for Mobile Users.

Linas Baltrunas, Bernd Ludwig, Stefan Peer, Francesco Ricci

Proceedings of the Design, User Experience, and Usability. Theory, Methods, Tools and Practice, 2011

InCarMusic: Context-Aware Music Recommendations in a Car.

Linas Baltrunas, Marius Kaminskas, Bernd Ludwig, Omar Moling, Francesco Ricci, Aykan Aydin, Karl-Heinz Lüke, Roland Schwaiger

Proceedings of the E-Commerce and Web Technologies - 12th International Conference, 2011

2010

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

Alexandros Karatzoglou, Xavier Amatriain, Linas Baltrunas, Nuria Oliver

Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Group recommendations with rank aggregation and collaborative filtering.

Linas Baltrunas, Tadas Makcinskas, Francesco Ricci

Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Context-Dependent Recommendations with Items Splitting.

Linas Baltrunas, Francesco Ricci

Proceedings of the IIR 2010, 2010

2009

Item Weighting Techniques for Collaborative Filtering.

Linas Baltrunas, Francesco Ricci

Proceedings of the Knowledge Discovery Enhanced with Semantic and Social Information, 2009

Context-based splitting of item ratings in collaborative filtering.

Linas Baltrunas, Francesco Ricci

Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

2008

Exploiting contextual information in recommender systems.

Linas Baltrunas

Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

Locally Adaptive Neighborhood Selection for Collaborative Filtering Recommendations.

Linas Baltrunas, Francesco Ricci

Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2008

2006

Multi-dimensional Histograms with Tight Bounds for the Error.

Linas Baltrunas, Arturas Mazeika, Michael H. Böhlen

Proceedings of the Tenth International Database Engineering and Applications Symposium (IDEAS 2006), 2006