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Publication search results
found 80 matches
- 2012
- Gediminas Adomavicius, Linas Baltrunas, Ernesto William De Luca, Tim Hussein, Alexander Tuzhilin:
4th workshop on context-aware recommender systems (CARS 2012). RecSys 2012: 349-350 - Michal Aharon, Amit Kagian, Ronny Lempel, Yehuda Koren:
Dynamic personalized recommendation of comment-eliciting stories. RecSys 2012: 209-212 - Xavier Amatriain:
Building industrial-scale real-world recommender systems. RecSys 2012: 7-8 - Xavier Amatriain, Pablo Castells, Arjen P. de Vries, Christian Posse:
Workshop on recommendation utility evaluation: beyond RMSE - RUE 2012. RecSys 2012: 351-352 - Mohammad Shafkat Amin, Baoshi Yan, Sripad Sriram, Anmol Bhasin, Christian Posse:
Social referral: leveraging network connections to deliver recommendations. RecSys 2012: 273-276 - Bruno Antunes, Joel Cordeiro, Paulo Gomes:
An approach to context-based recommendation in software development. RecSys 2012: 171-178 - Alejandro Bellogín, Javier Parapar:
Using graph partitioning techniques for neighbour selection in user-based collaborative filtering. RecSys 2012: 213-216 - Thiago Belluf, Leopoldo Xavier, Ricardo Giglio:
Case study on the business value impact of personalized recommendations on a large online retailer. RecSys 2012: 277-280 - Dirk G. F. M. Bollen, Mark P. Graus, Martijn C. Willemsen:
Remembering the stars?: effect of time on preference retrieval from memory. RecSys 2012: 217-220 - Svetlin Bostandjiev, John O'Donovan, Tobias Höllerer:
TasteWeights: a visual interactive hybrid recommender system. RecSys 2012: 35-42 - Igor Brigadir, Derek Greene, Padraig Cunningham:
A system for twitter user list curation. RecSys 2012: 293-294 - Sidharth Chhabra, Paul Resnick:
CubeThat: news article recommender. RecSys 2012: 295-296 - Henriette Cramer, Karen Church, Neal Lathia, Daniele Quercia:
Personalizing the local mobile experience: workshop at RecSys 2012. RecSys 2012: 359-360 - Paolo Cremonesi, Franca Garzotto, Roberto Turrin:
User effort vs. accuracy in rating-based elicitation. RecSys 2012: 27-34 - Abir De, Maunendra Sankar Desarkar, Niloy Ganguly, Pabitra Mitra:
Local learning of item dissimilarity using content and link structure. RecSys 2012: 221-224 - Ernesto Diaz-Aviles, Lucas Drumond, Lars Schmidt-Thieme, Wolfgang Nejdl:
Real-time top-n recommendation in social streams. RecSys 2012: 59-66 - Ernesto Diaz-Aviles, Mihai Georgescu, Wolfgang Nejdl:
Swarming to rank for recommender systems. RecSys 2012: 229-232 - Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth:
The demonstration of the reviewer's assistant. RecSys 2012: 297-298 - Michael D. Ekstrand, John Riedl:
When recommenders fail: predicting recommender failure for algorithm selection and combination. RecSys 2012: 233-236 - Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Francesco Ricci, Giovanni Semeraro, Martijn C. Willemsen:
RecSys'12 workshop on human decision making in recommender systems. RecSys 2012: 347-348 - Abigail S. Gertner, Beth Lavender, James Winston:
Recommenders for the enterprise: event, contact, and group. RecSys 2012: 299-300 - James Griffin:
Integrated content marketing. RecSys 2012: 301-302 - Negar Hariri, Bamshad Mobasher, Robin D. Burke:
Context-aware music recommendation based on latenttopic sequential patterns. RecSys 2012: 131-138 - Benjamin Heitmann:
An open framework for multi-source, cross-domain personalisation with semantic interest graphs. RecSys 2012: 313-316 - Ralf Herbrich:
Distributed, real-time bayesian learning in online services. RecSys 2012: 203-204 - Yu-Jia Huang, Evan Wei Xiang, Rong Pan:
Constrained collective matrix factorization. RecSys 2012: 237-240 - Yichen Jiang, Aixia Jia, Yansong Feng, Dongyan Zhao:
Recommending academic papers via users' reading purposes. RecSys 2012: 241-244 - Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme:
Exploiting the characteristics of matrix factorization for active learning in recommender systems. RecSys 2012: 317-320 - Daniel Kluver, Tien T. Nguyen, Michael D. Ekstrand, Shilad Sen, John Riedl:
How many bits per rating? RecSys 2012: 99-106 - Bart P. Knijnenburg:
Conducting user experiments in recommender systems. RecSys 2012: 3-4
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