Linas Baltrunas

35 papers A* 4A 17C 1Journal 6Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Logs to Language: Learning Optimal Verbalization for LLM-Based Recommendation in Production. CoRR Yucheng Shi, Ying Li, Yu Wang, Yesu Feng, Arjun Rao, Rein Houthooft, Shradha Sehgal, Jin Wang, Hao Zhen, Ninghao Liu, Linas Baltrunas
2023	A	`conf`	Contextual Multi-Armed Bandit for Email Layout Recommendation. RecSys Yan Chen, Emilian Vankov, Linas Baltrunas, Preston Donovan, Akash Mehta, Benjamin Schroeder, Matthew Herman
2022	—	`conf`	WANDS: Dataset for Product Search Relevance Assessment. ECIR (1) Yan Chen, Shujian Liu, Zheng Liu, Weiyi Sun, Linas Baltrunas, Benjamin Schroeder
2021	J	`jnl`	Deep Learning for Recommender Systems: A Netflix Case Study. AI Mag. Harald Steck, Linas Baltrunas, Ehtsham Elahi, Dawen Liang, Yves Raimond, Justin Basilico
2016	A*	`conf`	Session-based Recommendations with Recurrent Neural Networks. ICLR (Poster) Balázs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, Domonkos Tikk
2015	—	`conf`	Boredom-Triggered Proactive Recommendations. MobileHCI Adjunct Martin Pielot, Linas Baltrunas, Nuria Oliver
2015	J	`jnl`	Frappe: Understanding the Usage and Perception of Mobile App Recommendations In-The-Wild. CoRR Linas Baltrunas, Karen Church, Alexandros Karatzoglou, Nuria Oliver
2014	A	`conf`	CARS2: Learning Context-aware Representations for Context-aware Recommendations. CIKM Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic
2014	A	`conf`	Coverage, redundancy and size-awareness in genre diversity for recommender systems. RecSys Saúl Vargas, Linas Baltrunas, Alexandros Karatzoglou, Pablo Castells
2014	J	`jnl`	Experimental evaluation of context-dependent collaborative filtering using item splitting. User Model. User Adapt. Interact. Linas Baltrunas, Francesco Ricci
2014	A*	`conf`	Gaussian process factorization machines for context-aware recommendations. SIGIR Trung V. Nguyen, Alexandros Karatzoglou, Linas Baltrunas
2013	A*	`conf`	CLiMF: Collaborative Less-Is-More Filtering. IJCAI Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Nuria Oliver, Alan Hanjalic
2013	J	`jnl`	GAPfm: Optimal Top-N Recommendations for Graded Relevance Domains. CoRR Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic
2013	A	`conf`	GAPfm: optimal top-n recommendations for graded relevance domains. CIKM Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic
2013	A	`conf`	Learning to rank for recommender systems. RecSys Alexandros Karatzoglou, Linas Baltrunas, Yue Shi
2013	A	`conf`	xCLiMF: optimizing expected reciprocal rank for data with multiple levels of relevance. RecSys Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic
2012	A	`conf`	4th workshop on context-aware recommender systems (CARS 2012). RecSys Gediminas Adomavicius, Linas Baltrunas, Ernesto William De Luca, Tim Hussein, Alexander Tuzhilin
2012	A	`conf`	CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering. RecSys Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Nuria Oliver, Alan Hanjalic
2012	A	`conf`	Climbing the app wall: enabling mobile app discovery through context-aware recommendations. CIKM Alexandros Karatzoglou, Linas Baltrunas, Karen Church, Matthias Böhmer
2012	J	`jnl`	Context relevance assessment and exploitation in mobile recommender systems. Pers. Ubiquitous Comput. Linas Baltrunas, Bernd Ludwig, Stefan Peer, Francesco Ricci
2012	A	`conf`	Optimal radio channel recommendations with explicit and implicit feedback. RecSys Omar Moling, Linas Baltrunas, Francesco Ricci
2012	A*	`conf`	TFMAP: optimizing MAP for top-n context-aware recommendation. SIGIR Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic, Nuria Oliver
2011	A	`conf`	3rd workshop on context-aware recommender systems (CARS 2011). RecSys Gediminas Adomavicius, Linas Baltrunas, Tim Hussein, Francesco Ricci, Alexander Tuzhilin
2011	A	`conf`	Context relevance assessment for recommender systems. IUI Linas Baltrunas, Bernd Ludwig, Francesco Ricci
2011	—	`conf`	Context-Aware Places of Interest Recommendations for Mobile Users. HCI (9) Linas Baltrunas, Bernd Ludwig, Stefan Peer, Francesco Ricci
2011	—	`conf`	InCarMusic: Context-Aware Music Recommendations in a Car. EC-Web Linas Baltrunas, Marius Kaminskas, Bernd Ludwig, Omar Moling, Francesco Ricci, Aykan Aydin, Karl-Heinz Lüke, Roland Schwaiger
2011	A	`conf`	Matrix factorization techniques for context aware recommendation. RecSys Linas Baltrunas, Bernd Ludwig, Francesco Ricci
2010	—	`conf`	Context-Dependent Recommendations with Items Splitting. IIR Linas Baltrunas, Francesco Ricci
2010	A	`conf`	Group recommendations with rank aggregation and collaborative filtering. RecSys Linas Baltrunas, Tadas Makcinskas, Francesco Ricci
2010	A	`conf`	Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering. RecSys Alexandros Karatzoglou, Xavier Amatriain, Linas Baltrunas, Nuria Oliver
2009	A	`conf`	Context-based splitting of item ratings in collaborative filtering. RecSys Linas Baltrunas, Francesco Ricci
2009	—	`ch.`	Item Weighting Techniques for Collaborative Filtering. Knowledge Discovery Enhanced with Semantic and Social Information Linas Baltrunas, Francesco Ricci
2008	A	`conf`	Exploiting contextual information in recommender systems. RecSys Linas Baltrunas
2008	—	`conf`	Locally Adaptive Neighborhood Selection for Collaborative Filtering Recommendations. AH Linas Baltrunas, Francesco Ricci
2006	C	`conf`	Multi-dimensional Histograms with Tight Bounds for the Error. IDEAS Linas Baltrunas, Arturas Mazeika, Michael H. Böhlen