| 1 | | Question recommendation for collaborative question answering systems with RankSLDA | | 0 | | Alexandros Karatzoglou, José San Pedro | |
| 2 | | Item cold-start recommendations: learning local collective embeddings | | 0 | | Amin Mantrach, Martin Saveski | |
| 3 | | Clinical online recommendation with subgroup rank feedback | | 0 | | Joel W. Burdick, Yanan Sui | |
| 4 | | Ensemble contextual bandits for personalized recommendation | | 0 | | Lei Li, Liang Tang, Tao Li, Yexi Jiang | |
| 5 | | On over-specialization and concentration bias of recommendations: probabilistic neighborhood selection in collaborative filtering systems | | 0 | | Alexander Tuzhilin, Panagiotis Adamopoulos | |
| 6 | | Social collaborative filtering for cold-start recommendations | | 0 | | Darius Braziunas, Jordan Christensen, Lexing Xie, Scott Sanner, Suvash Sedhain | |
| 7 | | Using graded implicit feedback for bayesian personalized ranking | | 0 | | Dietmar Jannach, Lukas Lerche | |
| 8 | | Cosibon: an E-commerce like platform enabling bricks-and-mortar stores to use sophisticated product recommender systems | | 0 | | Matthias Raffelsieper, Thorben Keller | |
| 9 | | Second workshop on large-scale recommender systems: research and best practice (LSRS 2014) | | 0 | | Danny Bickson, Qiang Yan, Tao Ye | |
| 10 | | Beyond clicks: dwell time for personalization | | 0 | | Erheng Zhong, Liangjie Hong, Nathan Nan Liu, Suju Rajan, Xing Yi | |
| 11 | | System U: automatically deriving personality traits from social media for people recommendation | | 0 | | Aditya Pal, Barton A. Smith, Eben M. Haber, Hernan Badenes, Huahai Yang, Jalal Mahmud, Jeffrey W. Nichols, Jerald Schoudt, Jilin Chen, Liang Gou, Mateo N. Bengualid, Michelle X. Zhou, Ying Xuan | |
| 12 | | Controlled experimentation in recommendations, ranking & response prediction | | 0 | | Juliette Aurisset, Rajesh Parekh, Ya Xu | |
| 13 | | Personalized location recommendation on location-based social networks | | 0 | | Huan Liu, Huiji Gao, Jiliang Tang | |
| 14 | | Enhancing personalization and learner engagement through context-aware recommendation in TEL | | 0 | | Betty Mayeku | |
| 15 | | Cold-start news recommendation with domain-dependent browse graph | | 0 | | Alejandro Jaimes, Luca Maria Aiello, Michele Trevisiol, Rossano Schifanella | |
| 16 | | Evaluating recommender behavior for new users | | 0 | | Daniel Kluver, Joseph A. Konstan | |
| 17 | | Improving sales diversity by recommending users to items | | 0 | | Pablo Castells, Saul Vargas | |
| 18 | | Recommending user generated item lists | | 0 | | Laks V. S. Lakshmanan, Min Xie, Yidan Liu | |
| 19 | | Explore-exploit in top-N recommender systems via Gaussian processes | | 0 | | Andreas Krause, Fabio De Bona, Hastagiri P. Vanchinathan, Isidor Nikolic | |
| 20 | | Convex AUC optimization for top-N recommendation with implicit feedback | | 0 | | Fabio Aiolli | |
| 21 | | Attacking item-based recommender systems with power items | | 0 | | Carlos E. Seminario, David C. Wilson | |
| 22 | | Question recommendation with constraints for massive open online courses | | 0 | | Carolyn Penstein Rosé, David Adamson, Diyi Yang | |
| 23 | | A methodology for learning, analyzing, and mitigating social influence bias in recommender systems | | 0 | | Jay Patel, Ken Goldberg, Michael J. Franklin, Sanjay Krishnan | |
| 24 | | User perception of differences in recommender algorithms | | 0 | | F. Maxwell Harper, Joseph A. Konstan, Martijn C. Willemsen, Michael D. Ekstrand | |
| 25 | | Offline and online evaluation of news recommender systems at swissinfo.ch | | 0 | | Amr Huber, Ayar Alazzawi, Boi Faltings, Christophe Bruttin, Florent Garcin, Olivier Donatsch | |
| 26 | | Towards a dynamic top-N recommendation framework | | 0 | | Karl Aberer, Xin Liu | |
| 27 | | Speeding up the Xbox recommender system using a euclidean transformation for inner-product spaces | | 0 | | Liran Katzir, Nir Nice, Noam Koenigstein, Ran GiladBachrach, Ulrich Paquet, Yehuda Finkelstein, Yoram Bachrach | |
| 28 | | Exploiting temporal influence in online recommendation | | 0 | | András A. Benczúr, Erzsébet Frigó, Levente Kocsis, Róbert Pálovics, Tamás Kiss | |
| 29 | | An analysis of users' propensity toward diversity in recommendations | | 0 | | Eugenio Di Sciascio, Jessica Rosati, Paolo Tomeo, Tommaso Di Noia, Vito Claudio Ostuni | |
| 30 | | Cross-domain recommendations without overlapping data: myth or reality? | | 0 | | Massimo Quadrana, Paolo Cremonesi | |
| 31 | | Emphasize, don't filter!: displaying recommendations in Twitter timelines | | 0 | | Julita Vassileva, Wesley Waldner | |
| 32 | | Switching hybrid for cold-starting context-aware recommender systems | | 0 | | Francesco Ricci, Matthias Braunhofer, Victor Codina | |
| 33 | | First workshop on recommendation systems for television and online video: (RecSysTV 2014) | | 0 | | Danny Bickson, Hassan Sayyadi, Jan Neumann, John Hannon | |
| 34 | | Hybridisation techniques for cold-starting context-aware recommender systems | | 0 | | Matthias Braunhofer | |
| 35 | | Tutorial on cross-domain recommender systems | | 0 | | Iván Cantador, Paolo Cremonesi | |
| 36 | | Moving beyond linearity and independence in top-N recommender systems | | 0 | | Evangelia Christakopoulou | |
| 37 | | Improving recommender systems: user roles and lifecycles | | 0 | | Tien T. Nguyen | |
| 38 | | Browser-oriented universal cross-site recommendation and explanation based on user browsing logs | | 0 | | Yongfeng Zhang | |
| 39 | | Deviation-based and similarity-based contextual SLIM recommendation algorithms | | 0 | | Yong Zheng | |
| 40 | | Automating readers' advisory to make book recommendations for K-12 readers | | 0 | | Maria Soledad Pera, YiuKai Ng | |
| 41 | | Context adaptation in interactive recommender systems | | 0 | | Bamshad Mobasher, Negar Hariri, Robin D. Burke | |
| 42 | | Recommending with an agenda: active learning of private attributes using matrix factorization | | 0 | | Nina Taft, Smriti Bhagat, Stratis Ioannidis, Udi Weinsberg | |
| 43 | | Ratings meet reviews, a combined approach to recommend | | 0 | | Guang Ling, Irwin King, Michael R. Lyu | |
| 44 | | Comparative recommender system evaluation: benchmarking recommendation frameworks | | 0 | | Alan Said, Alejandro Bellogín | |
| 45 | | Unifying nearest neighbors collaborative filtering | | 0 | | Bart Goethals, Koen Verstrepen | |
| 46 | | Bayesian binomial mixture model for collaborative prediction with non-random missing data | | 0 | | Seungjin Choi, YongDeok Kim | |
| 47 | | A parameter-free algorithm for an optimized tag recommendation list size | | 0 | | Hubert Naacke, Modou Gueye, Talel Abdessalem | |
| 48 | | Coverage, redundancy and size-awareness in genre diversity for recommender systems | | 0 | | Alexandros Karatzoglou, Linas Baltrunas, Pablo Castells, Saúl Vargas | |
| 49 | | 'Free lunch' enhancement for collaborative filtering with factorization machines | | 0 | | Alan Hanjalic, Alan Said, Babak Loni, Martha A. Larson | |
| 50 | | Dynamics of human trust in recommender systems | | 0 | | Cleotilde Gonzalez, Jason L. Harman, John O'Donovan, Tarek F. Abdelzaher | |
| 51 | | CSLIM: contextual SLIM recommendation algorithms | | 0 | | Bamshad Mobasher, Robin D. Burke, Yong Zheng | |
| 52 | | Multi-criteria journey aware housing recommender system | | 0 | | Adi Botea, Akihiro Kishimoto, Elizabeth M. Daly, Radu Marinescu | |
| 53 | | PERSPeCT: collaborative filtering for tailored health communications | | 0 | | Benjamin M. Marlin, Kavitha Balakrishnan, Rajani S. Sadasivam, Rebecca L. Kinney, Roy J. Adams, Thomas K. Houston | |
| 54 | | Preference elicitation for narrowing the recommended list for groups | | 0 | | Bracha Shapira, Lihi Naamani Dery, Lior Rokach, Meir Kalech | |
| 55 | | Recommendation-based modeling support for data mining processes | | 0 | | Dietmar Jannach, Simon Fischer | |
| 56 | | Aspect-based opinion mining and recommendationsystem for restaurant reviews | | 0 | | Magdalini Eirinaki, Syeda Roohi, Vaishak Suresh | |
| 57 | | Focal: a personalized mobile news reader | | 0 | | Boi Faltings, Florent Garcin, Frederik Galle | |
| 58 | | Configuring and monitoring recommender system as a service | | 0 | | Alexander Tsikinovsky, David BenShimon, Johannes Hörle, Michael Friedmann | |
| 59 | | Rival: a toolkit to foster reproducibility in recommender system evaluation | | 0 | | Alan Said, Alejandro Bellogín | |
| 60 | | WrapRec: an easy extension of recommender system libraries | | 0 | | Alan Said, Babak Loni | |
| 61 | | Overview of ACM RecSys CrowdRec 2014 workshop: crowdsourcing and human computation for recommender systems | | 0 | | Alexandros Karatzoglou, Martha A. Larson, Paolo Cremonesi | |
| 62 | | RecSys'14 joint workshop on interfaces and human decision making for recommender systems | | 0 | | Alexander Felfernig, Giovanni Semeraro, John O'Donovan, Nava Tintarev, Pasquale Lops, Peter Brusilovsky | |
| 63 | | Recommender systems challenge 2014 | | 0 | | Alan Said, Babak Loni, Domonkos Tikk, Simon Dooms | |
| 64 | | REDD 2014 - international workshop on recommender systems evaluation: dimensions and design | | 0 | | Alejandro Bellogín, Harald Steck, Pablo Castells, Panagiotis Adamopoulos, Paolo Cremonesi | |
| 65 | | The recommender problem revisited | | 0 | | Xavier Amatriain | |
| 66 | | The sixth ACM RecSys workshop on recommender systems and the social web | | 0 | | Andreas Hotho, Bamshad Mobasher, Dietmar Jannach, Ido Guy, Jill Freyne, Werner Geyer | |
| 67 | | Weighted hybrid recommendation for heterogeneous networks | | 0 | | Fatemeh Vahedian | |
| 68 | | Inferring user interests in the Twitter social network | | 0 | | Krishna P. Gummadi, Muhammad Bilal Zafar, Niloy Ganguly, Parantapa Bhattacharya, Saptarshi Ghosh | |
| 69 | | Factored MDPs for detecting topics of user sessions | | 0 | | Maryam Tavakol, Ulf Brefeld | |
| 70 | | Choicla: towards domain-independent decision support for groups of users | | 0 | | Martin Stettinger | |
| 71 | | LinkedIn skills: large-scale topic extraction and inference | | 0 | | Christopher Lloyd, Hyung Jin Kim, Mathieu Bastian, Matthew Hayes, Peter Skomoroch, Sal Uryasev, Sam Shah, William Vaughan | |
| 72 | | Eliciting the users' unknown preferences | | 0 | | Hannes Werthner, Julia Neidhardt, Leonhard Seyfang, Rainer Schuster | |
| 73 | | Modeling the dynamics of user preferences in coupled tensor factorization | | 0 | | Alexandros Nanopoulos, Dimitrios Rafailidis | |
| 74 | | Modeling the effect of people's preferences and social forces on adopting and sharing items | | 0 | | Amit Sharma | |
| 75 | | A robust model for paper reviewer assignment | | 0 | | Nasir D. Memon, Torsten Suel, Xiang Liu | |
| 76 | | Exploiting sentiment homophily for link prediction | | 0 | | Guangchao Yuan, Munindar P. Singh, Pradeep K. Murukannaiah, Zhe Zhang | |
| 77 | | Improving the discriminative power of inferred content information using segmented virtual profile | | 0 | | Anmol Bhasin, Anuj Goyal, Haishan Liu, Trevor Walker | |
| 78 | | A framework for matrix factorization based on general distributions | | 0 | | Alexandros Nanopoulos, Josef Bauer | |
| 79 | | GASGD: stochastic gradient descent for distributed asynchronous matrix completion via graph partitioning | | 0 | | Fabio Petroni, Leonardo Querzoni | |
| 80 | | Gradient boosting factorization machines | | 0 | | Chen Cheng, Fen Xia, Irwin King, Michael R. Lyu, Tong Zhang | |
| 81 | | Implicit vs. explicit trust in social matrix factorization | | 0 | | Alejandro Bellogín, Babak Loni, Hendrik Drachsler, Peter B. Sloep, Soude Fazeli | |
| 82 | | Scalable audience targeted models for brand advertising on social networks | | 0 | | Aris M. Ouksel, Hengchang Liu, Kunpeng Zhang, Shaokun Fan | |
| 83 | | Content ordering based on commuting patterns | | 0 | | Omar Alonso, Travis Gingerich | |
| 84 | | Tell me where to go and what to do next, but do not bother me | | 0 | | Gang Wu, Guoren Wang, Hongwei Liu | |