| Ratings meet reviews, a combined approach to recommend |
Guang Ling, Michael R. Lyu, Irwin King |
|
|
|
code |
185 |
| Beyond clicks: dwell time for personalization |
Xing Yi, Liangjie Hong, Erheng Zhong, Nathan Nan Liu, Suju Rajan |
|
|
|
code |
121 |
| Item cold-start recommendations: learning local collective embeddings |
Martin Saveski, Amin Mantrach |
|
|
|
code |
102 |
| User perception of differences in recommender algorithms |
Michael D. Ekstrand, F. Maxwell Harper, Martijn C. Willemsen, Joseph A. Konstan |
|
|
|
code |
93 |
| Offline and online evaluation of news recommender systems at swissinfo.ch |
Florent Garcin, Boi Faltings, Olivier Donatsch, Ayar Alazzawi, Christophe Bruttin, Amr Huber |
|
|
|
code |
86 |
| Coverage, redundancy and size-awareness in genre diversity for recommender systems |
Saúl Vargas, Linas Baltrunas, Alexandros Karatzoglou, Pablo Castells |
|
|
|
code |
82 |
| Comparative recommender system evaluation: benchmarking recommendation frameworks |
Alan Said, Alejandro Bellogín |
|
|
|
code |
81 |
| Inferring user interests in the Twitter social network |
Parantapa Bhattacharya, Muhammad Bilal Zafar, Niloy Ganguly, Saptarshi Ghosh, Krishna P. Gummadi |
|
|
|
code |
74 |
| Social collaborative filtering for cold-start recommendations |
Suvash Sedhain, Scott Sanner, Darius Braziunas, Lexing Xie, Jordan Christensen |
|
|
|
code |
62 |
| Speeding up the Xbox recommender system using a euclidean transformation for inner-product spaces |
Yoram Bachrach, Yehuda Finkelstein, Ran GiladBachrach, Liran Katzir, Noam Koenigstein, Nir Nice, Ulrich Paquet |
|
|
|
code |
62 |
| CSLIM: contextual SLIM recommendation algorithms |
Yong Zheng, Bamshad Mobasher, Robin D. Burke |
|
|
|
code |
49 |
| On over-specialization and concentration bias of recommendations: probabilistic neighborhood selection in collaborative filtering systems |
Panagiotis Adamopoulos, Alexander Tuzhilin |
|
|
|
code |
48 |
| Improving sales diversity by recommending users to items |
Saul Vargas, Pablo Castells |
|
|
|
code |
48 |
| Using graded implicit feedback for bayesian personalized ranking |
Lukas Lerche, Dietmar Jannach |
|
|
|
code |
45 |
| Unifying nearest neighbors collaborative filtering |
Koen Verstrepen, Bart Goethals |
|
|
|
code |
45 |
| A methodology for learning, analyzing, and mitigating social influence bias in recommender systems |
Sanjay Krishnan, Jay Patel, Michael J. Franklin, Ken Goldberg |
|
|
|
code |
42 |
| Explore-exploit in top-N recommender systems via Gaussian processes |
Hastagiri P. Vanchinathan, Isidor Nikolic, Fabio De Bona, Andreas Krause |
|
|
|
code |
41 |
| Rival: a toolkit to foster reproducibility in recommender system evaluation |
Alan Said, Alejandro Bellogín |
|
|
|
code |
40 |
| Exploiting sentiment homophily for link prediction |
Guangchao Yuan, Pradeep K. Murukannaiah, Zhe Zhang, Munindar P. Singh |
|
|
|
code |
40 |
| 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 |
|
|
|
code |
39 |
| Ensemble contextual bandits for personalized recommendation |
Liang Tang, Yexi Jiang, Lei Li, Tao Li |
|
|
|
code |
37 |
| Eliciting the users' unknown preferences |
Julia Neidhardt, Rainer Schuster, Leonhard Seyfang, Hannes Werthner |
|
|
|
code |
35 |
| Factored MDPs for detecting topics of user sessions |
Maryam Tavakol, Ulf Brefeld |
|
|
|
code |
33 |
| Question recommendation with constraints for massive open online courses |
Diyi Yang, David Adamson, Carolyn Penstein Rosé |
|
|
|
code |
32 |
| An analysis of users' propensity toward diversity in recommendations |
Tommaso Di Noia, Vito Claudio Ostuni, Jessica Rosati, Paolo Tomeo, Eugenio Di Sciascio |
|
|
|
code |
32 |
| Context adaptation in interactive recommender systems |
Negar Hariri, Bamshad Mobasher, Robin D. Burke |
|
|
|
code |
32 |
| A robust model for paper reviewer assignment |
Xiang Liu, Torsten Suel, Nasir D. Memon |
|
|
|
code |
31 |
| Gradient boosting factorization machines |
Chen Cheng, Fen Xia, Tong Zhang, Irwin King, Michael R. Lyu |
|
|
|
code |
31 |
| Implicit vs. explicit trust in social matrix factorization |
Soude Fazeli, Babak Loni, Alejandro Bellogín, Hendrik Drachsler, Peter B. Sloep |
|
|
|
code |
29 |
| Evaluating recommender behavior for new users |
Daniel Kluver, Joseph A. Konstan |
|
|
|
code |
28 |
| Modeling the dynamics of user preferences in coupled tensor factorization |
Dimitrios Rafailidis, Alexandros Nanopoulos |
|
|
|
code |
27 |
| Recommender systems challenge 2014 |
Alan Said, Simon Dooms, Babak Loni, Domonkos Tikk |
|
|
|
code |
26 |
| Attacking item-based recommender systems with power items |
Carlos E. Seminario, David C. Wilson |
|
|
|
code |
25 |
| Cold-start news recommendation with domain-dependent browse graph |
Michele Trevisiol, Luca Maria Aiello, Rossano Schifanella, Alejandro Jaimes |
|
|
|
code |
24 |
| Cross-domain recommendations without overlapping data: myth or reality? |
Paolo Cremonesi, Massimo Quadrana |
|
|
|
code |
24 |
| Exploiting temporal influence in online recommendation |
Róbert Pálovics, András A. Benczúr, Levente Kocsis, Tamás Kiss, Erzsébet Frigó |
|
|
|
code |
23 |
| Recommending with an agenda: active learning of private attributes using matrix factorization |
Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis, Nina Taft |
|
|
|
code |
23 |
| Choicla: towards domain-independent decision support for groups of users |
Martin Stettinger |
|
|
|
code |
23 |
| Question recommendation for collaborative question answering systems with RankSLDA |
José San Pedro, Alexandros Karatzoglou |
|
|
|
code |
21 |
| Recommending user generated item lists |
Yidan Liu, Min Xie, Laks V. S. Lakshmanan |
|
|
|
code |
21 |
| Tutorial on cross-domain recommender systems |
Iván Cantador, Paolo Cremonesi |
|
|
|
code |
19 |
| 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 |
|
|
|
code |
17 |
| Dynamics of human trust in recommender systems |
Jason L. Harman, John O'Donovan, Tarek F. Abdelzaher, Cleotilde Gonzalez |
|
|
|
code |
16 |
| Towards a dynamic top-N recommendation framework |
Xin Liu, Karl Aberer |
|
|
|
code |
14 |
| Bayesian binomial mixture model for collaborative prediction with non-random missing data |
YongDeok Kim, Seungjin Choi |
|
|
|
code |
14 |
| PERSPeCT: collaborative filtering for tailored health communications |
Roy J. Adams, Rajani S. Sadasivam, Kavitha Balakrishnan, Rebecca L. Kinney, Thomas K. Houston, Benjamin M. Marlin |
|
|
|
code |
14 |
| Automating readers' advisory to make book recommendations for K-12 readers |
Maria Soledad Pera, YiuKai Ng |
|
|
|
code |
13 |
| Aspect-based opinion mining and recommendationsystem for restaurant reviews |
Vaishak Suresh, Syeda Roohi, Magdalini Eirinaki |
|
|
|
code |
13 |
| Personalized location recommendation on location-based social networks |
Huiji Gao, Jiliang Tang, Huan Liu |
|
|
|
code |
11 |
| GASGD: stochastic gradient descent for distributed asynchronous matrix completion via graph partitioning |
Fabio Petroni, Leonardo Querzoni |
|
|
|
code |
11 |
| Switching hybrid for cold-starting context-aware recommender systems |
Matthias Braunhofer, Victor Codina, Francesco Ricci |
|
|
|
code |
9 |
| Convex AUC optimization for top-N recommendation with implicit feedback |
Fabio Aiolli |
|
|
|
code |
8 |
| Browser-oriented universal cross-site recommendation and explanation based on user browsing logs |
Yongfeng Zhang |
|
|
|
code |
8 |
| Recommendation-based modeling support for data mining processes |
Dietmar Jannach, Simon Fischer |
|
|
|
code |
8 |
| The recommender problem revisited |
Xavier Amatriain |
|
|
|
code |
6 |
| Weighted hybrid recommendation for heterogeneous networks |
Fatemeh Vahedian |
|
|
|
code |
6 |
| A framework for matrix factorization based on general distributions |
Josef Bauer, Alexandros Nanopoulos |
|
|
|
code |
6 |
| Emphasize, don't filter!: displaying recommendations in Twitter timelines |
Wesley Waldner, Julita Vassileva |
|
|
|
code |
5 |
| Hybridisation techniques for cold-starting context-aware recommender systems |
Matthias Braunhofer |
|
|
|
code |
5 |
| A parameter-free algorithm for an optimized tag recommendation list size |
Modou Gueye, Talel Abdessalem, Hubert Naacke |
|
|
|
code |
5 |
| Preference elicitation for narrowing the recommended list for groups |
Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira |
|
|
|
code |
5 |
| Focal: a personalized mobile news reader |
Florent Garcin, Frederik Galle, Boi Faltings |
|
|
|
code |
5 |
| Cosibon: an E-commerce like platform enabling bricks-and-mortar stores to use sophisticated product recommender systems |
Thorben Keller, Matthias Raffelsieper |
|
|
|
code |
4 |
| Enhancing personalization and learner engagement through context-aware recommendation in TEL |
Betty Mayeku |
|
|
|
code |
4 |
| Deviation-based and similarity-based contextual SLIM recommendation algorithms |
Yong Zheng |
|
|
|
code |
4 |
| 'Free lunch' enhancement for collaborative filtering with factorization machines |
Babak Loni, Alan Said, Martha A. Larson, Alan Hanjalic |
|
|
|
code |
4 |
| Overview of ACM RecSys CrowdRec 2014 workshop: crowdsourcing and human computation for recommender systems |
Martha A. Larson, Paolo Cremonesi, Alexandros Karatzoglou |
|
|
|
code |
4 |
| 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 |
|
|
|
code |
4 |
| Scalable audience targeted models for brand advertising on social networks |
Kunpeng Zhang, Aris M. Ouksel, Shaokun Fan, Hengchang Liu |
|
|
|
code |
4 |
| Multi-criteria journey aware housing recommender system |
Elizabeth M. Daly, Adi Botea, Akihiro Kishimoto, Radu Marinescu |
|
|
|
code |
3 |
| Tell me where to go and what to do next, but do not bother me |
Hongwei Liu, Gang Wu, Guoren Wang |
|
|
|
code |
3 |
| Clinical online recommendation with subgroup rank feedback |
Yanan Sui, Joel W. Burdick |
|
|
|
code |
2 |
| Improving recommender systems: user roles and lifecycles |
Tien T. Nguyen |
|
|
|
code |
2 |
| WrapRec: an easy extension of recommender system libraries |
Babak Loni, Alan Said |
|
|
|
code |
2 |
| REDD 2014 - international workshop on recommender systems evaluation: dimensions and design |
Panagiotis Adamopoulos, Alejandro Bellogín, Pablo Castells, Paolo Cremonesi, Harald Steck |
|
|
|
code |
2 |
| Improving the discriminative power of inferred content information using segmented virtual profile |
Haishan Liu, Anuj Goyal, Trevor Walker, Anmol Bhasin |
|
|
|
code |
2 |
| Moving beyond linearity and independence in top-N recommender systems |
Evangelia Christakopoulou |
|
|
|
code |
1 |
| Configuring and monitoring recommender system as a service |
David BenShimon, Alexander Tsikinovsky, Michael Friedmann, Johannes Hörle |
|
|
|
code |
1 |
| Second workshop on large-scale recommender systems: research and best practice (LSRS 2014) |
Tao Ye, Danny Bickson, Qiang Yan |
|
|
|
code |
0 |
| Controlled experimentation in recommendations, ranking & response prediction |
Ya Xu, Rajesh Parekh, Juliette Aurisset |
|
|
|
code |
0 |
| First workshop on recommendation systems for television and online video: (RecSysTV 2014) |
Danny Bickson, John Hannon, Jan Neumann, Hassan Sayyadi |
|
|
|
code |
0 |
| The sixth ACM RecSys workshop on recommender systems and the social web |
Dietmar Jannach, Jill Freyne, Werner Geyer, Ido Guy, Andreas Hotho, Bamshad Mobasher |
|
|
|
code |
0 |
| Modeling the effect of people's preferences and social forces on adopting and sharing items |
Amit Sharma |
|
|
|
code |
0 |
| Content ordering based on commuting patterns |
Travis Gingerich, Omar Alonso |
|
|
|
code |
0 |