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Linas Baltrunas
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2020 – today
- 2023
- [c28]Yan Chen
, Emilian Vankov
Contextual Multi-Armed Bandit for Email Layout Recommendation. RecSys 2023: 400-402 - 2022
- [c27]Yan Chen, Shujian Liu, Zheng Liu, Weiyi Sun, Linas Baltrunas, Benjamin Schroeder:
WANDS: Dataset for Product Search Relevance Assessment. ECIR (1) 2022: 128-141 - 2021
- [j3]Harald Steck, Linas Baltrunas, Ehtsham Elahi, Dawen Liang, Yves Raimond, Justin Basilico:
Deep Learning for Recommender Systems: A Netflix Case Study. AI Mag. 42(3): 7-18 (2021)
2010 – 2019
- 2016
- [c26]Balázs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, Domonkos Tikk:
Session-based Recommendations with Recurrent Neural Networks. ICLR (Poster) 2016 - 2015
- [c25]Martin Pielot, Linas Baltrunas, Nuria Oliver
Boredom-Triggered Proactive Recommendations. MobileHCI Adjunct 2015: 1106-1110 - [i2]Linas Baltrunas, Karen Church, Alexandros Karatzoglou, Nuria Oliver:
Frappe: Understanding the Usage and Perception of Mobile App Recommendations In-The-Wild. CoRR abs/1505.03014 (2015) - 2014
- [j2]Linas Baltrunas, Francesco Ricci
Experimental evaluation of context-dependent collaborative filtering using item splitting. User Model. User Adapt. Interact. 24(1-2): 7-34 (2014) - [c24]Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic:
CARS2: Learning Context-aware Representations for Context-aware Recommendations. CIKM 2014: 291-300 - [c23]Saúl Vargas
Coverage, redundancy and size-awareness in genre diversity for recommender systems. RecSys 2014: 209-216 - [c22]Trung V. Nguyen, Alexandros Karatzoglou, Linas Baltrunas:
Gaussian process factorization machines for context-aware recommendations. SIGIR 2014: 63-72 - 2013
- [c21]Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic:
GAPfm: optimal top-n recommendations for graded relevance domains. CIKM 2013: 2261-2266 - [c20]Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Nuria Oliver, Alan Hanjalic:
CLiMF: Collaborative Less-Is-More Filtering. IJCAI 2013: 3077-3081 - [c19]Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic:
xCLiMF: optimizing expected reciprocal rank for data with multiple levels of relevance. RecSys 2013: 431-434 - [c18]Alexandros Karatzoglou, Linas Baltrunas, Yue Shi:
Learning to rank for recommender systems. RecSys 2013: 493-494 - [i1]Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic:
GAPfm: Optimal Top-N Recommendations for Graded Relevance Domains. CoRR abs/1307.3855 (2013) - 2012
- [j1]Linas Baltrunas, Bernd Ludwig, Stefan Peer, Francesco Ricci
Context relevance assessment and exploitation in mobile recommender systems. Pers. Ubiquitous Comput. 16(5): 507-526 (2012) - [c17]Alexandros Karatzoglou, Linas Baltrunas, Karen Church, Matthias Böhmer:
Climbing the app wall: enabling mobile app discovery through context-aware recommendations. CIKM 2012: 2527-2530 - [c16]Omar Moling, Linas Baltrunas, Francesco Ricci
Optimal radio channel recommendations with explicit and implicit feedback. RecSys 2012: 75-82 - [c15]Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Nuria Oliver
CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering. RecSys 2012: 139-146 - [c14]Gediminas Adomavicius, Linas Baltrunas, Ernesto William De Luca
4th workshop on context-aware recommender systems (CARS 2012). RecSys 2012: 349-350 - [c13]Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic, Nuria Oliver
TFMAP: optimizing MAP for top-n context-aware recommendation. SIGIR 2012: 155-164 - 2011
- [c12]Linas Baltrunas, Marius Kaminskas, Bernd Ludwig, Omar Moling, Francesco Ricci
InCarMusic: Context-Aware Music Recommendations in a Car. EC-Web 2011: 89-100 - [c11]Linas Baltrunas, Bernd Ludwig, Stefan Peer, Francesco Ricci
Context-Aware Places of Interest Recommendations for Mobile Users. HCI (9) 2011: 531-540 - [c10]Linas Baltrunas, Bernd Ludwig, Francesco Ricci
Context relevance assessment for recommender systems. IUI 2011: 287-290 - [c9]Linas Baltrunas, Bernd Ludwig, Francesco Ricci
Matrix factorization techniques for context aware recommendation. RecSys 2011: 301-304 - [c8]Gediminas Adomavicius, Linas Baltrunas, Tim Hussein, Francesco Ricci
3rd workshop on context-aware recommender systems (CARS 2011). RecSys 2011: 379-380 - 2010
- [c7]Linas Baltrunas, Francesco Ricci:
Context-Dependent Recommendations with Items Splitting. IIR 2010: 71-75 - [c6]Alexandros Karatzoglou, Xavier Amatriain, Linas Baltrunas, Nuria Oliver
Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering. RecSys 2010: 79-86 - [c5]Linas Baltrunas, Tadas Makcinskas, Francesco Ricci
Group recommendations with rank aggregation and collaborative filtering. RecSys 2010: 119-126
2000 – 2009
- 2009
- [c4]Linas Baltrunas, Francesco Ricci
Context-based splitting of item ratings in collaborative filtering. RecSys 2009: 245-248 - [p1]Linas Baltrunas, Francesco Ricci
Item Weighting Techniques for Collaborative Filtering. Knowledge Discovery Enhanced with Semantic and Social Information 2009: 109-126 - 2008
- [c3]Linas Baltrunas, Francesco Ricci
Locally Adaptive Neighborhood Selection for Collaborative Filtering Recommendations. AH 2008: 22-31 - [c2]Linas Baltrunas:
Exploiting contextual information in recommender systems. RecSys 2008: 295-298 - 2006
- [c1]Linas Baltrunas, Arturas Mazeika, Michael H. Böhlen
Multi-dimensional Histograms with Tight Bounds for the Error. IDEAS 2006: 105-112
Coauthor Index
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