| CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering |
Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Nuria Oliver, Alan Hanjalic |
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code |
178 |
| TasteWeights: a visual interactive hybrid recommender system |
Svetlin Bostandjiev, John O'Donovan, Tobias Höllerer |
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code |
164 |
| Alternating least squares for personalized ranking |
Gábor Takács, Domonkos Tikk |
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code |
100 |
| BlurMe: inferring and obfuscating user gender based on ratings |
Udi Weinsberg, Smriti Bhagat, Stratis Ioannidis, Nina Taft |
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code |
96 |
| Real-time top-n recommendation in social streams |
Ernesto DiazAviles, Lucas Drumond, Lars SchmidtThieme, Wolfgang Nejdl |
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code |
94 |
| On top-k recommendation using social networks |
Xiwang Yang, Harald Steck, Yang Guo, Yong Liu |
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code |
93 |
| Inspectability and control in social recommenders |
Bart P. Knijnenburg, Svetlin Bostandjiev, John O'Donovan, Alfred Kobsa |
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code |
81 |
| Pareto-efficient hybridization for multi-objective recommender systems |
Marco Túlio Ribeiro, Anísio Lacerda, Adriano Veloso, Nivio Ziviani |
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code |
72 |
| Sparse linear methods with side information for top-n recommendations |
Xia Ning, George Karypis |
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code |
68 |
| Finding a needle in a haystack of reviews: cold start context-based hotel recommender system |
Asher Levi, Osnat Mokryn, Christophe Diot, Nina Taft |
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code |
62 |
| Using graph partitioning techniques for neighbour selection in user-based collaborative filtering |
Alejandro Bellogín, Javier Parapar |
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code |
49 |
| Multiple objective optimization in recommender systems |
Mario Rodríguez, Christian Posse, Ethan Zhang |
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code |
46 |
| Exploiting the web of data in model-based recommender systems |
Tommaso Di Noia, Roberto Mirizzi, Vito Claudio Ostuni, Davide Romito |
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code |
43 |
| Recommending academic papers via users' reading purposes |
Yichen Jiang, Aixia Jia, Yansong Feng, Dongyan Zhao |
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code |
36 |
| Personality-based recommender systems: an overview |
Maria Augusta Silveira Netto Nunes, Rong Hu |
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code |
34 |
| Review quality aware collaborative filtering |
Sindhu Raghavan, Suriya Gunasekar, Joydeep Ghosh |
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code |
34 |
| When recommenders fail: predicting recommender failure for algorithm selection and combination |
Michael D. Ekstrand, John Riedl |
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code |
34 |
| Optimal radio channel recommendations with explicit and implicit feedback |
Omar Moling, Linas Baltrunas, Francesco Ricci |
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code |
31 |
| Local implicit feedback mining for music recommendation |
Diyi Yang, Tianqi Chen, Weinan Zhang, Qiuxia Lu, Yong Yu |
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code |
30 |
| Ranking with non-random missing ratings: influence of popularity and positivity on evaluation metrics |
Bruno Pradel, Nicolas Usunier, Patrick Gallinari |
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code |
29 |
| Scalable similarity-based neighborhood methods with MapReduce |
Sebastian Schelter, Christoph Boden, Volker Markl |
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code |
28 |
| The influence of knowledgeable explanations on users' perception of a recommender system |
Markus Zanker |
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code |
25 |
| User effort vs. accuracy in rating-based elicitation |
Paolo Cremonesi, Franca Garzotto, Roberto Turrin |
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code |
25 |
| How many bits per rating? |
Daniel Kluver, Tien T. Nguyen, Michael D. Ekstrand, Shilad Sen, John Riedl |
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code |
20 |
| Building industrial-scale real-world recommender systems |
Xavier Amatriain |
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code |
17 |
| Ads and the city: considering geographic distance goes a long way |
Diego SáezTrumper, Daniele Quercia, Jon Crowcroft |
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code |
17 |
| Enlister: baidu's recommender system for the biggest chinese Q&A website |
Qiwen Liu, Tianjian Chen, Jing Cai, Dianhai Yu |
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code |
16 |
| Discovering latent factors from movies genres for enhanced recommendation |
Marcelo G. Manzato |
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code |
15 |
| Exploiting the characteristics of matrix factorization for active learning in recommender systems |
Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars SchmidtThieme |
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code |
15 |
| Recommending interesting events in real-time with foursquare check-ins |
Max Sklar, Blake Shaw, Andrew Hogue |
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code |
14 |
| Influential seed items recommendation |
Qi Liu, Biao Xiang, Enhong Chen, Yong Ge, Hui Xiong, Tengfei Bao, Yi Zheng |
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code |
13 |
| Conducting user experiments in recommender systems |
Bart P. Knijnenburg |
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code |
11 |
| Dynamic personalized recommendation of comment-eliciting stories |
Michal Aharon, Amit Kagian, Ronny Lempel, Yehuda Koren |
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code |
10 |
| An open framework for multi-source, cross-domain personalisation with semantic interest graphs |
Benjamin Heitmann |
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code |
10 |
| The Xbox recommender system |
Noam Koenigstein, Nir Nice, Ulrich Paquet, Nir Schleyen |
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code |
10 |
| Case study on the business value impact of personalized recommendations on a large online retailer |
Thiago Belluf, Leopoldo Xavier, Ricardo Giglio |
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code |
9 |
| An approach to context-based recommendation in software development |
Bruno Antunes, Joel Cordeiro, Paulo Gomes |
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code |
9 |
| pGPA: a personalized grade prediction tool to aid student success |
Mark Sheehan, Young Park |
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code |
9 |
| Recommender systems challenge 2012 |
Nikos Manouselis, Alan Said, Domonkos Tikk, Jannis Hermanns, Benjamin Kille, Hendrik Drachsler, Katrien Verbert, Kris Jack |
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code |
9 |
| Swarming to rank for recommender systems |
Ernesto DiazAviles, Mihai Georgescu, Wolfgang Nejdl |
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code |
8 |
| Making recommendations in a microblog to improve the impact of a focal user |
Shanchan Wu, Leanna Gong, William Rand, Louiqa Raschid |
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code |
8 |
| Social referral: leveraging network connections to deliver recommendations |
Mohammad Shafkat Amin, Baoshi Yan, Sripad Sriram, Anmol Bhasin, Christian Posse |
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code |
8 |
| Finding a needle in a haystack of reviews: cold start context-based hotel recommender system demo |
Asher Levi, Osnat Mokryn, Christophe Diot, Nina Taft |
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code |
7 |
| High quality recommendations for small communities: the case of a regional parent network |
Sven Strickroth, Niels Pinkwart |
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code |
7 |
| Remembering the stars?: effect of time on preference retrieval from memory |
Dirk G. F. M. Bollen, Mark P. Graus, Martijn C. Willemsen |
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code |
7 |
| Probabilistic news recommender systems with feedback |
Shankar Prawesh, Balaji Padmanabhan |
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code |
6 |
| Design and evaluation of a group recommender system |
Toon De Pessemier, Simon Dooms, Luc Martens |
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code |
6 |
| HeyStaks: a real-world deployment of social search |
Barry Smyth, Maurice Coyle, Peter Briggs |
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code |
6 |
| 4th workshop on context-aware recommender systems (CARS 2012) |
Gediminas Adomavicius, Linas Baltrunas, Ernesto William De Luca, Tim Hussein, Alexander Tuzhilin |
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code |
6 |
| I've got 10 million songs in my pocket: now what? |
Paul Lamere |
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code |
6 |
| CubeThat: news article recommender |
Sidharth Chhabra, Paul Resnick |
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code |
5 |
| Online controlled experiments: introduction, learnings, and humbling statistics |
Ron Kohavi |
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code |
5 |
| Collaborative learning of preference rankings |
Tim Salimans, Ulrich Paquet, Thore Graepel |
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code |
4 |
| Yokie: explorations in curated real-time search & discovery using twitter |
Owen Phelan, Kevin McCarthy, Barry Smyth |
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code |
4 |
| 1st workshop on recommendation technologies for lifestyle change 2012 |
Bernd Ludwig, Francesco Ricci, Zerrin Yumak |
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code |
4 |
| Local learning of item dissimilarity using content and link structure |
Abir De, Maunendra Sankar Desarkar, Niloy Ganguly, Pabitra Mitra |
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code |
4 |
| Spotting trends: the wisdom of the few |
Xiaolan Sha, Daniele Quercia, Pietro Michiardi, Matteo Dell'Amico |
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code |
4 |
| A semantic approach to recommending text advertisements for images |
Weinan Zhang, Li Tian, Xinruo Sun, Haofen Wang, Yong Yu |
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code |
3 |
| The user-centered design of a recommender system for a universal library catalogue |
Simon Wakeling |
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code |
3 |
| Using group recommendation heuristics for the prioritization of requirements |
Gerald Ninaus |
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code |
3 |
| Beyond lists: studying the effect of different recommendation visualizations |
Denis Parra |
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|
code |
3 |
| Constrained collective matrix factorization |
YuJia Huang, Evan Wei Xiang, Rong Pan |
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|
code |
3 |
| The challenge of recommender systems challenges |
Alan Said, Domonkos Tikk, Andreas Hotho |
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|
code |
2 |
| Recommendation challenges in web media settings |
Ronny Lempel |
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|
|
code |
2 |
| Dynamically selecting an appropriate context type for personalisation |
Tomás Kramár, Mária Bieliková |
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|
code |
2 |
| 4th ACM RecSys workshop on recommender systems and the social web |
Bamshad Mobasher, Dietmar Jannach, Werner Geyer, Andreas Hotho |
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|
code |
2 |
| RecSys'12 workshop on interfaces for recommender systems (InterfaceRS'12) |
Nava Tintarev, Rong Hu, Pearl Pu |
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|
code |
2 |
| A system for twitter user list curation |
Igor Brigadir, Derek Greene, Padraig Cunningham |
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|
code |
2 |
| Using ratings to profile your health |
Neal Lathia |
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|
code |
2 |
| Reducing the sparsity of contextual information for recommender systems |
Dusan Zeleník, Mária Bieliková |
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|
code |
1 |
| RecSys'12 workshop on human decision making in recommender systems |
Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Francesco Ricci, Giovanni Semeraro, Martijn C. Willemsen |
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code |
1 |
| Recommenders for the enterprise: event, contact, and group |
Abigail S. Gertner, Beth Lavender, James Winston |
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code |
0 |
| Utilising document content for tag recommendation in folksonomies |
Nikolas Landia |
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|
code |
0 |
| Personalizing the local mobile experience: workshop at RecSys 2012 |
Henriette Cramer, Karen Church, Neal Lathia, Daniele Quercia |
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|
code |
0 |
| Distributed, real-time bayesian learning in online services |
Ralf Herbrich |
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|
code |
0 |
| The demonstration of the reviewer's assistant |
Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth |
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|
code |
0 |
| Integrated content marketing |
James Griffin |
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|
code |
0 |
| Context-aware music recommendation based on latenttopic sequential patterns |
Negar Hariri, Bamshad Mobasher, Robin D. Burke |
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code |
-1 |