- Negar Hariri, Bamshad Mobasher, Robin D. Burke:
Context adaptation in interactive recommender systems. RecSys 2014: 41-48 - Jason L. Harman, John O'Donovan, Tarek F. Abdelzaher, Cleotilde Gonzalez:
Dynamics of human trust in recommender systems. RecSys 2014: 305-308 - Dietmar Jannach, Simon Fischer:
Recommendation-based modeling support for data mining processes. RecSys 2014: 337-340 - Dietmar Jannach, Jill Freyne, Werner Geyer, Ido Guy, Andreas Hotho, Bamshad Mobasher:
The sixth ACM RecSys workshop on recommender systems and the social web. RecSys 2014: 395 - Thorben Keller, Matthias Raffelsieper:
Cosibon: an E-commerce like platform enabling bricks-and-mortar stores to use sophisticated product recommender systems. RecSys 2014: 367-368 - Yong-Deok Kim, Seungjin Choi:
Bayesian binomial mixture model for collaborative prediction with non-random missing data. RecSys 2014: 201-208 - Daniel Kluver, Joseph A. Konstan:
Evaluating recommender behavior for new users. RecSys 2014: 121-128 - Sanjay Krishnan, Jay Patel, Michael J. Franklin, Ken Goldberg:
A methodology for learning, analyzing, and mitigating social influence bias in recommender systems. RecSys 2014: 137-144 - Martha A. Larson, Paolo Cremonesi, Alexandros Karatzoglou:
Overview of ACM RecSys CrowdRec 2014 workshop: crowdsourcing and human computation for recommender systems. RecSys 2014: 381-382 - Lukas Lerche, Dietmar Jannach:
Using graded implicit feedback for bayesian personalized ranking. RecSys 2014: 353-356 - Guang Ling, Michael R. Lyu, Irwin King:
Ratings meet reviews, a combined approach to recommend. RecSys 2014: 105-112 - Yidan Liu, Min Xie, Laks V. S. Lakshmanan:
Recommending user generated item lists. RecSys 2014: 185-192 - Xin Liu, Karl Aberer:
Towards a dynamic top-N recommendation framework. RecSys 2014: 217-224 - Haishan Liu, Anuj Goyal, Trevor Walker, Anmol Bhasin:
Improving the discriminative power of inferred content information using segmented virtual profile. RecSys 2014: 97-104 - Xiang Liu, Torsten Suel, Nasir D. Memon:
A robust model for paper reviewer assignment. RecSys 2014: 25-32 - Hongwei Liu, Gang Wu, Guoren Wang:
Tell me where to go and what to do next, but do not bother me. RecSys 2014: 375-376 - Babak Loni, Alan Said:
WrapRec: an easy extension of recommender system libraries. RecSys 2014: 377-378 - Babak Loni, Alan Said, Martha A. Larson, Alan Hanjalic:
'Free lunch' enhancement for collaborative filtering with factorization machines. RecSys 2014: 281-284 - Betty Mayeku:
Enhancing personalization and learner engagement through context-aware recommendation in TEL. RecSys 2014: 413-415 - Julia Neidhardt, Rainer Schuster, Leonhard Seyfang, Hannes Werthner:
Eliciting the users' unknown preferences. RecSys 2014: 309-312 - Tien T. Nguyen:
Improving recommender systems: user roles and lifecycles. RecSys 2014: 417-420 - Tommaso Di Noia, Vito Claudio Ostuni, Jessica Rosati, Paolo Tomeo, Eugenio Di Sciascio:
An analysis of users' propensity toward diversity in recommendations. RecSys 2014: 285-288 - Róbert Pálovics, András A. Benczúr, Levente Kocsis, Tamás Kiss, Erzsébet Frigó:
Exploiting temporal influence in online recommendation. RecSys 2014: 273-280 - José San Pedro, Alexandros Karatzoglou:
Question recommendation for collaborative question answering systems with RankSLDA. RecSys 2014: 193-200 - Maria Soledad Pera, Yiu-Kai Ng:
Automating readers' advisory to make book recommendations for K-12 readers. RecSys 2014: 9-16 - Fabio Petroni, Leonardo Querzoni:
GASGD: stochastic gradient descent for distributed asynchronous matrix completion via graph partitioning. RecSys 2014: 241-248 - Dimitrios Rafailidis, Alexandros Nanopoulos:
Modeling the dynamics of user preferences in coupled tensor factorization. RecSys 2014: 321-324 - Alan Said, Alejandro Bellogín:
Comparative recommender system evaluation: benchmarking recommendation frameworks. RecSys 2014: 129-136 - Alan Said, Alejandro Bellogín:
Rival: a toolkit to foster reproducibility in recommender system evaluation. RecSys 2014: 371-372 - Alan Said, Simon Dooms, Babak Loni, Domonkos Tikk:
Recommender systems challenge 2014. RecSys 2014: 387-388