Multi-dimensional Histograms with Tight Bounds for the Error. - Linas Baltrunas; Arturas Mazeika; Michael H. Böhlen (IDEAS, 2006)

Locally Adaptive Neighborhood Selection for Collaborative Filtering Recommendations. - Linas Baltrunas; Francesco Ricci 001 (AH, 2008)

Exploiting contextual information in recommender systems. - Linas Baltrunas (RecSys, 2008)

Context-based splitting of item ratings in collaborative filtering. - Linas Baltrunas; Francesco Ricci 001 (RecSys, 2009)

Item Weighting Techniques for Collaborative Filtering. - Linas Baltrunas; Francesco Ricci 001 (Knowledge Discovery Enhanced with Semantic and Social Information, 2009)

Context-Dependent Recommendations with Items Splitting. - Linas Baltrunas; Francesco Ricci 001 (IIR, 2010)

Group recommendations with rank aggregation and collaborative filtering. - Linas Baltrunas; Tadas Makcinskas; Francesco Ricci 001 (RecSys, 2010)

Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering. - Alexandros Karatzoglou; Xavier Amatriain; Linas Baltrunas; Nuria Oliver (RecSys, 2010)

InCarMusic: Context-Aware Music Recommendations in a Car. - Linas Baltrunas; Marius Kaminskas; Bernd Ludwig; Omar Moling; Francesco Ricci 001; Aykan Aydin; Karl-Heinz Lüke; Roland Schwaiger (EC-Web, 2011)

Context-Aware Places of Interest Recommendations for Mobile Users. - Linas Baltrunas; Bernd Ludwig; Stefan Peer; Francesco Ricci 001 (HCI (9), 2011)

Context relevance assessment for recommender systems. - Linas Baltrunas; Bernd Ludwig; Francesco Ricci 001 (IUI, 2011)

3rd workshop on context-aware recommender systems (CARS 2011). - Gediminas Adomavicius; Linas Baltrunas; Tim Hussein; Francesco Ricci 001; Alexander Tuzhilin (RecSys, 2011)

Matrix factorization techniques for context aware recommendation. - Linas Baltrunas; Bernd Ludwig; Francesco Ricci 001 (RecSys, 2011)

Climbing the app wall: enabling mobile app discovery through context-aware recommendations. - Alexandros Karatzoglou; Linas Baltrunas; Karen Church; Matthias Böhmer 001 (CIKM, 2012)

4th workshop on context-aware recommender systems (CARS 2012). - Gediminas Adomavicius; Linas Baltrunas; Ernesto William De Luca; Tim Hussein; Alexander Tuzhilin (RecSys, 2012)

Optimal radio channel recommendations with explicit and implicit feedback. - Omar Moling; Linas Baltrunas; Francesco Ricci 001 (RecSys, 2012)

CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering. - Yue Shi 002; Alexandros Karatzoglou; Linas Baltrunas; Martha A. Larson; Nuria Oliver; Alan Hanjalic (RecSys, 2012)

TFMAP: optimizing MAP for top-n context-aware recommendation. - Yue Shi 002; Alexandros Karatzoglou; Linas Baltrunas; Martha A. Larson; Alan Hanjalic; Nuria Oliver (SIGIR, 2012)

Context relevance assessment and exploitation in mobile recommender systems. - Linas Baltrunas; Bernd Ludwig; Stefan Peer; Francesco Ricci 001 (Pers. Ubiquitous Comput., 2012)

GAPfm: optimal top-n recommendations for graded relevance domains. - Yue Shi 002; Alexandros Karatzoglou; Linas Baltrunas; Martha A. Larson; Alan Hanjalic (CIKM, 2013)

CLiMF: Collaborative Less-Is-More Filtering. - Yue Shi 002; Alexandros Karatzoglou; Linas Baltrunas; Martha A. Larson; Nuria Oliver; Alan Hanjalic (IJCAI, 2013)

Learning to rank for recommender systems. - Alexandros Karatzoglou; Linas Baltrunas; Yue Shi 002 (RecSys, 2013)

xCLiMF: optimizing expected reciprocal rank for data with multiple levels of relevance. - Yue Shi 002; Alexandros Karatzoglou; Linas Baltrunas; Martha A. Larson; Alan Hanjalic (RecSys, 2013)

CARS2: Learning Context-aware Representations for Context-aware Recommendations. - Yue Shi 002; Alexandros Karatzoglou; Linas Baltrunas; Martha A. Larson; Alan Hanjalic (CIKM, 2014)

Coverage, redundancy and size-awareness in genre diversity for recommender systems. - Saúl Vargas; Linas Baltrunas; Alexandros Karatzoglou; Pablo Castells (RecSys, 2014)

Gaussian process factorization machines for context-aware recommendations. - Trung V. Nguyen; Alexandros Karatzoglou; Linas Baltrunas (SIGIR, 2014)

Experimental evaluation of context-dependent collaborative filtering using item splitting. - Linas Baltrunas; Francesco Ricci 001 (User Model. User Adapt. Interact., 2014)

Boredom-Triggered Proactive Recommendations. - Martin Pielot; Linas Baltrunas; Nuria Oliver (MobileHCI Adjunct, 2015)

Frappe: Understanding the Usage and Perception of Mobile App Recommendations In-The-Wild. - Linas Baltrunas; Karen Church; Alexandros Karatzoglou; Nuria Oliver (CoRR, 2015)

Session-based Recommendations with Recurrent Neural Networks. - Balázs Hidasi; Alexandros Karatzoglou; Linas Baltrunas; Domonkos Tikk (ICLR (Poster), 2016)

Deep Learning for Recommender Systems: A Netflix Case Study. - Harald Steck; Linas Baltrunas; Ehtsham Elahi; Dawen Liang; Yves Raimond; Justin Basilico (AI Mag., 2021)

WANDS: Dataset for Product Search Relevance Assessment. - Yan Chen 019; Shujian Liu; Zheng Liu; Weiyi Sun; Linas Baltrunas; Benjamin Schroeder 004 (ECIR (1), 2022)

Contextual Multi-Armed Bandit for Email Layout Recommendation. - Yan Chen 019; Emilian Vankov; Linas Baltrunas; Preston Donovan; Akash Mehta; Benjamin Schroeder 004; Matthew Herman (RecSys, 2023)