recsys | ACM Conference on Recommender Systems (RecSys)

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Eighth ACM Conference on Recommender Systems, RecSys '14, Foster City, Silicon Valley, CA, USA - October 06 - 10, 2014.
LinkedIn skills: large-scale topic extraction and inference.

Mathieu Bastian, Matthew Hayes, William Vaughan, Sam Shah, Peter Skomoroch, Hyung Jin Kim, Sal Uryasev, Christopher Lloyd

Automating readers' advisory to make book recommendations for K-12 readers.

Maria Soledad Pera, Yiu-Kai Ng

Exploiting sentiment homophily for link prediction.

Guangchao Yuan, Pradeep K. Murukannaiah, Zhe Zhang, Munindar P. Singh

A robust model for paper reviewer assignment.

Xiang Liu, Torsten Suel, Nasir D. Memon

Factored MDPs for detecting topics of user sessions.

Maryam Tavakol, Ulf Brefeld

Context adaptation in interactive recommender systems.

Negar Hariri, Bamshad Mobasher, Robin D. Burke

Question recommendation with constraints for massive open online courses.

Diyi Yang, David Adamson, Carolyn Penstein Rosé

Attacking item-based recommender systems with power items.

Carlos E. Seminario, David C. Wilson

Recommending with an agenda: active learning of private attributes using matrix factorization.

Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis, Nina Taft

Ensemble contextual bandits for personalized recommendation.

Liang Tang, Yexi Jiang, Lei Li, Tao Li

Cold-start news recommendation with domain-dependent browse graph.

Michele Trevisiol, Luca Maria Aiello, Rossano Schifanella, Alejandro Jaimes

Item cold-start recommendations: learning local collective embeddings.

Martin Saveski, Amin Mantrach

Improving the discriminative power of inferred content information using segmented virtual profile.

Haishan Liu, Anuj Goyal, Trevor Walker, Anmol Bhasin

Ratings meet reviews, a combined approach to recommend.

Guang Ling, Michael R. Lyu, Irwin King

Beyond clicks: dwell time for personalization.

Xing Yi, Liangjie Hong, Erheng Zhong, Nathan Nan Liu, Suju Rajan

Evaluating recommender behavior for new users.

Daniel Kluver, Joseph A. Konstan

Comparative recommender system evaluation: benchmarking recommendation frameworks.

Alan Said, Alejandro Bellogín

A methodology for learning, analyzing, and mitigating social influence bias in recommender systems.

Sanjay Krishnan, Jay Patel, Michael J. Franklin, Ken Goldberg

Improving sales diversity by recommending users to items.

Saul Vargas, Pablo Castells

On over-specialization and concentration bias of recommendations: probabilistic neighborhood selection in collaborative filtering systems.

Panagiotis Adamopoulos, Alexander Tuzhilin

User perception of differences in recommender algorithms.

Michael D. Ekstrand, F. Maxwell Harper, Martijn C. Willemsen, Joseph A. Konstan

Offline and online evaluation of news recommender systems at swissinfo.ch.

Florent Garcin, Boi Faltings, Olivier Donatsch, Ayar Alazzawi, Christophe Bruttin, Amr Huber

Unifying nearest neighbors collaborative filtering.

Koen Verstrepen, Bart Goethals

Recommending user generated item lists.

Yidan Liu, Min Xie, Laks V. S. Lakshmanan

Question recommendation for collaborative question answering systems with RankSLDA.

José San Pedro, Alexandros Karatzoglou

Bayesian binomial mixture model for collaborative prediction with non-random missing data.

Yong-Deok Kim, Seungjin Choi

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

Saúl Vargas, Linas Baltrunas, Alexandros Karatzoglou, Pablo Castells

Towards a dynamic top-N recommendation framework.

Xin Liu, Karl Aberer

Explore-exploit in top-N recommender systems via Gaussian processes.

Hastagiri P. Vanchinathan, Isidor Nikolic, Fabio De Bona, Andreas Krause

A parameter-free algorithm for an optimized tag recommendation list size.

Modou Gueye, Talel Abdessalem, Hubert Naacke

GASGD: stochastic gradient descent for distributed asynchronous matrix completion via graph partitioning.

Fabio Petroni, Leonardo Querzoni

A framework for matrix factorization based on general distributions.

Josef Bauer, Alexandros Nanopoulos

Speeding up the Xbox recommender system using a euclidean transformation for inner-product spaces.

Yoram Bachrach, Yehuda Finkelstein, Ran Gilad-Bachrach, Liran Katzir, Noam Koenigstein, Nir Nice, Ulrich Paquet

Gradient boosting factorization machines.

Chen Cheng, Fen Xia, Tong Zhang, Irwin King, Michael R. Lyu

Exploiting temporal influence in online recommendation.

Róbert Pálovics, András A. Benczúr, Levente Kocsis, Tamás Kiss, Erzsébet Frigó

'Free lunch' enhancement for collaborative filtering with factorization machines.

Babak Loni, Alan Said, Martha Larson, Alan Hanjalic

An analysis of users' propensity toward diversity in recommendations.

Tommaso Di Noia, Vito Claudio Ostuni, Jessica Rosati, Paolo Tomeo, Eugenio Di Sciascio

Clinical online recommendation with subgroup rank feedback.

Yanan Sui, Joel W. Burdick

Convex AUC optimization for top-N recommendation with implicit feedback.

Fabio Aiolli

Cross-domain recommendations without overlapping data: myth or reality?

Paolo Cremonesi, Massimo Quadrana

CSLIM: contextual SLIM recommendation algorithms.

Yong Zheng, Bamshad Mobasher, Robin D. Burke

Dynamics of human trust in recommender systems.

Jason L. Harman, John O'Donovan, Tarek F. Abdelzaher, Cleotilde Gonzalez

Eliciting the users' unknown preferences.

Julia Neidhardt, Rainer Schuster, Leonhard Seyfang, Hannes Werthner

Emphasize, don't filter!: displaying recommendations in Twitter timelines.

Wesley Waldner, Julita Vassileva

Implicit vs. explicit trust in social matrix factorization.

Soude Fazeli, Babak Loni, Alejandro Bellogín, Hendrik Drachsler, Peter B. Sloep

Modeling the dynamics of user preferences in coupled tensor factorization.

Dimitrios Rafailidis, Alexandros Nanopoulos

Multi-criteria journey aware housing recommender system.

Elizabeth M. Daly, Adi Botea, Akihiro Kishimoto, Radu Marinescu

PERSPeCT: collaborative filtering for tailored health communications.

Roy J. Adams, Rajani S. Sadasivam, Kavitha Balakrishnan, Rebecca L. Kinney, Thomas K. Houston, Benjamin M. Marlin

Preference elicitation for narrowing the recommended list for groups.

Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira

Recommendation-based modeling support for data mining processes.

Dietmar Jannach, Simon Fischer

Scalable audience targeted models for brand advertising on social networks.

Kunpeng Zhang, Aris M. Ouksel, Shaokun Fan, Hengchang Liu

Social collaborative filtering for cold-start recommendations.

Suvash Sedhain, Scott Sanner, Darius Braziunas, Lexing Xie, Jordan Christensen

Switching hybrid for cold-starting context-aware recommender systems.

Matthias Braunhofer, Victor Codina, Francesco Ricci

Using graded implicit feedback for bayesian personalized ranking.

Lukas Lerche, Dietmar Jannach

Inferring user interests in the Twitter social network.

Parantapa Bhattacharya, Muhammad Bilal Zafar, Niloy Ganguly, Saptarshi Ghosh, Krishna P. Gummadi

Aspect-based opinion mining and recommendationsystem for restaurant reviews.

Vaishak Suresh, Syeda Roohi, Magdalini Eirinaki

Configuring and monitoring recommender system as a service.

David Ben-Shimon, Alexander Tsikinovsky, Michael Friedmann, Johannes Hörle

Content ordering based on commuting patterns.

Travis Gingerich, Omar Alonso

Cosibon: an E-commerce like platform enabling bricks-and-mortar stores to use sophisticated product recommender systems.

Thorben Keller, Matthias Raffelsieper

Focal: a personalized mobile news reader.

Florent Garcin, Frederik Galle, Boi Faltings

Rival: a toolkit to foster reproducibility in recommender system evaluation.

Alan Said, Alejandro Bellogín

System U: automatically deriving personality traits from social media for people recommendation.

Hernan Badenes, Mateo N. Bengualid, Jilin Chen, Liang Gou, Eben M. Haber, Jalal Mahmud, Jeffrey W. Nichols, Aditya Pal, Jerald Schoudt, Barton A. Smith, Ying Xuan, Huahai Yang, Michelle X. Zhou

Tell me where to go and what to do next, but do not bother me.

Hongwei Liu, Gang Wu, Guoren Wang

WrapRec: an easy extension of recommender system libraries.

Babak Loni, Alan Said

Workshop on new trends in content-based recommender systems: (CBRecSys 2014).

Toine Bogers, Marijn Koolen, Iván Cantador

Overview of ACM RecSys CrowdRec 2014 workshop: crowdsourcing and human computation for recommender systems.

Martha Larson, Paolo Cremonesi, Alexandros Karatzoglou

RecSys'14 joint workshop on interfaces and human decision making for recommender systems.

Nava Tintarev, John O'Donovan, Peter Brusilovsky, Alexander Felfernig, Giovanni Semeraro, Pasquale Lops

Second workshop on large-scale recommender systems: research and best practice (LSRS 2014).

Tao Ye, Danny Bickson, Qiang Yan

Recommender systems challenge 2014.

Alan Said, Simon Dooms, Babak Loni, Domonkos Tikk

Controlled experimentation in recommendations, ranking & response prediction.

Ya Xu, Rajesh Parekh, Juliette Aurisset

First workshop on recommendation systems for television and online video: (RecSysTV 2014).

Danny Bickson, John Hannon, Jan Neumann, Hassan Sayyadi

REDD 2014 - international workshop on recommender systems evaluation: dimensions and design.

Panagiotis Adamopoulos, Alejandro Bellogín, Pablo Castells, Paolo Cremonesi, Harald Steck

The sixth ACM RecSys workshop on recommender systems and the social web.

Dietmar Jannach, Jill Freyne, Werner Geyer, Ido Guy, Andreas Hotho, Bamshad Mobasher

The recommender problem revisited.

Xavier Amatriain

Personalized location recommendation on location-based social networks.

Huiji Gao, Jiliang Tang, Huan Liu

Tutorial on cross-domain recommender systems.

Iván Cantador, Paolo Cremonesi

Social recommender system tutorial.

Ido Guy, Werner Geyer

Hybridisation techniques for cold-starting context-aware recommender systems.

Matthias Braunhofer

Moving beyond linearity and independence in top-N recommender systems.

Evangelia Christakopoulou

Enhancing personalization and learner engagement through context-aware recommendation in TEL.

Betty Mayeku

Improving recommender systems: user roles and lifecycles.

Tien T. Nguyen

Modeling the effect of people's preferences and social forces on adopting and sharing items.

Amit Sharma

Choicla: towards domain-independent decision support for groups of users.

Martin Stettinger

Weighted hybrid recommendation for heterogeneous networks.

Fatemeh Vahedian

Browser-oriented universal cross-site recommendation and explanation based on user browsing logs.

Yongfeng Zhang

Deviation-based and similarity-based contextual SLIM recommendation algorithms.

Yong Zheng