Proceedings of the 2012 ACM Conference on Recommender Systems

Publisher
ACM Press
Website
Year
2012
Period
Place
ISBN
Series
RecSys - International Conference on Recommender Systems
DOI
Volume
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Description

The ACM Recommender System conference is the premier international forum for the presentation of new research results, systems and techniques in the broad field of recommender systems. Recommendation is a particular form of information filtering, that exploits past behaviours and user similarities to generate a list of information items that is personally tailored to an end-user's preferences

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Articles

Kohavi, Ron (2012): Online controlled experiments: introduction, learnings, and humbling statistics. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 1-2. https://dx.doi.org/10.1145/2365952.2365954

Strickroth, Sven, Pinkwart, Niels (2012): High quality recommendations for small communities: the case of a regional parent network. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 107-114. https://dx.doi.org/10.1145/2365952.2365976

Rodriguez, Mario, Posse, Christian, Zhang, Ethan (2012): Multiple objective optimization in recommender systems. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 11-18. https://dx.doi.org/10.1145/2365952.2365961

Levi, Asher, Mokryn, Osnat, Diot, Christophe, Taft, Nina (2012): Finding a needle in a haystack of reviews: cold start context-based hotel recommender syst. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 115-122. https://dx.doi.org/10.1145/2365952.2365977

Raghavan, Sindhu, Gunasekar, Suriya, Ghosh, Joydeep (2012): Review quality aware collaborative filtering. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 123-130. https://dx.doi.org/10.1145/2365952.2365978

Hariri, Negar, Mobasher, Bamshad, Burke, Robin (2012): Context-aware music recommendation based on latent topic sequential patterns. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 131-138. https://dx.doi.org/10.1145/2365952.2365979

Shi, Yue, Karatzoglou, Alexandros, Baltrunas, Linas, Larson, Martha, Oliver, Nuria, Hanjalic, Alan (2012): CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 139-146. https://dx.doi.org/10.1145/2365952.2365981

Pradel, Bruno, Usunier, Nicolas, Gallinari, Patrick (2012): Ranking with non-random missing ratings: influence of popularity and positivity on evaluat. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 147-154. https://dx.doi.org/10.1145/2365952.2365982

Ning, Xia, Karypis, George (2012): Sparse linear methods with side information for top-n recommendations. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 155-162. https://dx.doi.org/10.1145/2365952.2365983

Schelter, Sebastian, Boden, Christoph, Markl, Volker (2012): Scalable similarity-based neighborhood methods with MapReduce. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 163-170. https://dx.doi.org/10.1145/2365952.2365984

Antunes, Bruno, Cordeiro, Joel, Gomes, Paulo (2012): An approach to context-based recommendation in software development. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 171-178. https://dx.doi.org/10.1145/2365952.2365986

Zhang, Weinan, Tian, Li, Sun, Xinruo, Wang, Haofen, Yu, Yong (2012): A semantic approach to recommending text advertisements for images. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 179-186. https://dx.doi.org/10.1145/2365952.2365987

Sáez-Trumper, Diego, Quercia, Daniele, Crowcroft, Jon (2012): Ads and the city: considering geographic distance goes a long way. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 187-194. https://dx.doi.org/10.1145/2365952.2365988

Ribeiro, Marco Tulio, Lacerda, Anisio, Veloso, Adriano, Ziviani, Nivio (2012): Pareto-efficient hybridization for multi-objective recommender systems. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 19-26. https://dx.doi.org/10.1145/2365952.2365962

Weinsberg, Udi, Bhagat, Smriti, Ioannidis, Stratis, Taft, Nina (2012): BlurMe: inferring and obfuscating user gender based on ratings. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 195-202. https://dx.doi.org/10.1145/2365952.2365989

Herbrich, Ralf (2012): Distributed, real-time Bayesian learning in online services. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 203-204. https://dx.doi.org/10.1145/2365952.2365991

Lempel, Ronny (2012): Recommendation challenges in web media settings. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 205-206. https://dx.doi.org/10.1145/2365952.2365992

Lamere, Paul B. (2012): I've got 10 million songs in my pocket: now what?. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 207-208. https://dx.doi.org/10.1145/2365952.2365994

Aharon, Michal, Kagian, Amit, Lempel, Ronny, Koren, Yehuda (2012): Dynamic personalized recommendation of comment-eliciting stories. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 209-212. https://dx.doi.org/10.1145/2365952.2365996

Bellogín, Alejandro, Parapar, Javier (2012): Using graph partitioning techniques for neighbour selection in user-based collaborative fi. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 213-216. https://dx.doi.org/10.1145/2365952.2365997

Bollen, Dirk, Graus, Mark, Willemsen, Martijn C. (2012): Remembering the stars?: effect of time on preference retrieval from memory. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 217-220. https://dx.doi.org/10.1145/2365952.2365998

De, Abir, Desarkar, Maunendra Sankar, Ganguly, Niloy, Mitra, Pabitra (2012): Local learning of item dissimilarity using content and link structure. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 221-224. https://dx.doi.org/10.1145/2365952.2365999

Pessemier, Toon De, Dooms, Simon, Martens, Luc (2012): Design and evaluation of a group recommender system. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 225-228. https://dx.doi.org/10.1145/2365952.2366000

Diaz-Aviles, Ernesto, Georgescu, Mihai, Nejdl, Wolfgang (2012): Swarming to rank for recommender systems. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 229-232. https://dx.doi.org/10.1145/2365952.2366001

Ekstrand, Michael, Riedl, John (2012): When recommenders fail: predicting recommender failure for algorithm selection and combina. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 233-236. https://dx.doi.org/10.1145/2365952.2366002

Huang, Yu-Jia, Xiang, Evan Wei, Pan, Rong (2012): Constrained collective matrix factorization. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 237-240. https://dx.doi.org/10.1145/2365952.2366003

Jiang, Yichen, Jia, Aixia, Feng, Yansong, Zhao, Dongyan (2012): Recommending academic papers via users' reading purposes. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 241-244. https://dx.doi.org/10.1145/2365952.2366004

Liu, Qi, Xiang, Biao, Chen, Enhong, Ge, Yong, Xiong, Hui, Bao, Tengfei, Zheng, Yi (2012): Influential seed items recommendation. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 245-248. https://dx.doi.org/10.1145/2365952.2366005

Manzato, Marcelo G. (2012): Discovering latent factors from movies genres for enhanced recommendation. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 249-252. https://dx.doi.org/10.1145/2365952.2366006

Noia, Tommaso Di, Mirizzi, Roberto, Ostuni, Vito Claudio, Romito, Davide (2012): Exploiting the web of data in model-based recommender systems. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 253-256. https://dx.doi.org/10.1145/2365952.2366007

Prawesh, Shankar, Padmanabhan, Balaji (2012): Probabilistic news recommender systems with feedback. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 257-260. https://dx.doi.org/10.1145/2365952.2366008

Salimans, Tim, Paquet, Ulrich, Graepel, Thore (2012): Collaborative learning of preference rankings. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 261-264. https://dx.doi.org/10.1145/2365952.2366009

Wu, Shanchan, Gong, Leanna, Rand, William, Raschid, Louiqa (2012): Making recommendations in a microblog to improve the impact of a focal user. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 265-268. https://dx.doi.org/10.1145/2365952.2366010

Zanker, Markus (2012): The influence of knowledgeable explanations on users' perception of a recommender system. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 269-272. https://dx.doi.org/10.1145/2365952.2366011

Cremonesi, Paolo, Garzottto, Franca, Turrin, Roberto (2012): User effort vs. accuracy in rating-based elicitation. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 27-34. https://dx.doi.org/10.1145/2365952.2365963

Amin, Mohammad Shafkat, Yan, Baoshi, Sriram, Sripad, Bhasin, Anmol, Posse, Christian (2012): Social referral: leveraging network connections to deliver recommendations. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 273-276. https://dx.doi.org/10.1145/2365952.2366013

Belluf, Thiago, Xavier, Leopoldo, Giglio, Ricardo (2012): Case study on the business value impact of personalized recommendations on a large online . In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 277-280. https://dx.doi.org/10.1145/2365952.2366014

Koenigstein, Noam, Nice, Nir, Paquet, Ulrich, Schleyen, Nir (2012): The Xbox recommender system. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 281-284. https://dx.doi.org/10.1145/2365952.2366015

Liu, Qiwen, Chen, Tianjian, Cai, Jing, Yu, Dianhai (2012): Enlister: baidu's recommender system for the biggest Chinese Q&A website. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 285-288. https://dx.doi.org/10.1145/2365952.2366016

Smyth, Barry, Coyle, Maurice, Briggs, Peter (2012): HeyStaks: a real-world deployment of social search. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 289-292. https://dx.doi.org/10.1145/2365952.2366017

Brigadir, Igor, Greene, Derek, Cunningham, Padraig (2012): A system for Twitter user list curation. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 293-294. https://dx.doi.org/10.1145/2365952.2366019

Chhabra, Sidharth, Resnick, Paul (2012): CubeThat: news article recommender. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 295-296. https://dx.doi.org/10.1145/2365952.2366020

Dong, Ruihai, Schaal, Markus, O'Mahony, Michael P., McCarthy, Kevin, Smyth, Barry (2012): The demonstration of the reviewer's assistant. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 297-298. https://dx.doi.org/10.1145/2365952.2366021

Gertner, Abigail, Lavender, Beth, Winston, James (2012): Recommenders for the enterprise: event, contact, and group. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 299-300. https://dx.doi.org/10.1145/2365952.2366022

Knijnenburg, Bart P. (2012): Conducting user experiments in recommender systems. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 3-4. https://dx.doi.org/10.1145/2365952.2365956

Griffin, James (2012): Integrated content marketing. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 301-302. https://dx.doi.org/10.1145/2365952.2366023

Lathia, Neal (2012): Using ratings to profile your health. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 303-304. https://dx.doi.org/10.1145/2365952.2366024

Levi, Asher, Mokryn, Osnat, Diot, Christophe, Taft, Nina (2012): Finding a needle in a haystack of reviews: cold start context-based hotel recommender syst. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 305-306. https://dx.doi.org/10.1145/2365952.2366025

Phelan, Owen, McCarthy, Kevin, Smyth, Barry (2012): Yokie: explorations in curated real-time search & discovery using Twitter. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 307-308. https://dx.doi.org/10.1145/2365952.2366026

Sheehan, Mark, Park, Young (2012): pGPA: a personalized grade prediction tool to aid student success. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 309-310. https://dx.doi.org/10.1145/2365952.2366027

Sklar, Max, Shaw, Blake, Hogue, Andrew (2012): Recommending interesting events in real-time with foursquare check-ins. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 311-312. https://dx.doi.org/10.1145/2365952.2366028

Heitmann, Benjamin (2012): An open framework for multi-source, cross-domain personalisation with semantic interest gr. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 313-316. https://dx.doi.org/10.1145/2365952.2366030

Karimi, Rasoul, Freudenthaler, Christoph, Nanopoulos, Alexandros, Schmidt-Thieme, Lars (2012): Exploiting the characteristics of matrix factorization for active learning in recommender . In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 317-320. https://dx.doi.org/10.1145/2365952.2366031

Kramár, Tomáš, Bielikova, Maria (2012): Dynamically selecting an appropriate context type for personalisation. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 321-324. https://dx.doi.org/10.1145/2365952.2366032

Landia, Nikolas (2012): Utilising document content for tag recommendation in folksonomies. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 325-328. https://dx.doi.org/10.1145/2365952.2366033

Ninaus, Gerald (2012): Using group recommendation heuristics for the prioritization of requirements. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 329-332. https://dx.doi.org/10.1145/2365952.2366034

Parra, Denis (2012): Beyond lists: studying the effect of different recommendation visualizations. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 333-336. https://dx.doi.org/10.1145/2365952.2366035

Wakeling, Simon (2012): The user-centered design of a recommender system for a universal library catalogue. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 337-340. https://dx.doi.org/10.1145/2365952.2366036

Zelenik, Dusan, Bielikova, Maria (2012): Reducing the sparsity of contextual information for recommender systems. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 341-344. https://dx.doi.org/10.1145/2365952.2366037

Mobasher, Bamshad, Jannach, Dietmar, Geyer, Werner, Hotho, Andreas (2012): 4th ACM RecSys workshop on recommender systems and the social web. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 345-346. https://dx.doi.org/10.1145/2365952.2366039

Gemmis, Marco de, Felfernig, Alexander, Lops, Pasquale, Ricci, Francesco, Semeraro, Giovanni, Willemsen, Martijn C. (2012): RecSys'12 workshop on human decision making in recommender systems. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 347-348. https://dx.doi.org/10.1145/2365952.2366040

Adomavicius, Gediminas, Baltrunas, Linas, Luca, Ernesto William De, Hussein, Tim, Tuzhilin, Alexander (2012): 4th workshop on context-aware recommender systems (CARS 2012). In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 349-350. https://dx.doi.org/10.1145/2365952.2366041

Bostandjiev, Svetlin, O'Donovan, John, Hollerer, Tobias (2012): TasteWeights: a visual interactive hybrid recommender system. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 35-42. https://dx.doi.org/10.1145/2365952.2365964

Amatriain, Xavier, Castells, Pablo, Vries, Arjen de, Posse, Christian (2012): Workshop on recommendation utility evaluation: beyond RMSE -- RUE 2012. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 351-352. https://dx.doi.org/10.1145/2365952.2366042

Manouselis, Nikos, Said, Alan, Tikk, Domonkos, Hermanns, Jannis, Kille, Benjamin, Drachsler, Hendrik, Verbert, Katrien, Jack, Kris (2012): Recommender systems challenge 2012. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 353-354. https://dx.doi.org/10.1145/2365952.2366043

Tintarev, Nava, Hu, Rong, Pu, Pearl (2012): RecSys'12 workshop on interfaces for recommender systems (InterfaceRS'12). In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 355-356. https://dx.doi.org/10.1145/2365952.2366044

Ludwig, Bernd, Ricci, Francesco, Yumak, Zerrin (2012): 1st workshop on recommendation technologies for lifestyle change 2012. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 357-358. https://dx.doi.org/10.1145/2365952.2366045

Cramer, Henriette, Church, Karen, Lathia, Neal, Quercia, Daniele (2012): Personalizing the local mobile experience: workshop at RecSys 2012. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 359-360. https://dx.doi.org/10.1145/2365952.2366046

Knijnenburg, Bart P., Bostandjiev, Svetlin, O'Donovan, John, Kobsa, Alfred (2012): Inspectability and control in social recommenders. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 43-50. https://dx.doi.org/10.1145/2365952.2365966

Nunes, Maria Augusta S. N., Hu, Rong (2012): Personality-based recommender systems: an overview. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 5-6. https://dx.doi.org/10.1145/2365952.2365957

Sha, Xiaolan, Quercia, Daniele, Michiardi, Pietro, Dell'Amico, Matteo (2012): Spotting trends: the wisdom of the few. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 51-58. https://dx.doi.org/10.1145/2365952.2365967

Diaz-Aviles, Ernesto, Drumond, Lucas, Schmidt-Thieme, Lars, Nejdl, Wolfgang (2012): Real-time top-n recommendation in social streams. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 59-66. https://dx.doi.org/10.1145/2365952.2365968

Yang, Xiwang, Steck, Harald, Guo, Yang, Liu, Yong (2012): On top-k recommendation using social networks. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 67-74. https://dx.doi.org/10.1145/2365952.2365969

Amatriain, Xavier (2012): Building industrial-scale real-world recommender systems. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 7-8. https://dx.doi.org/10.1145/2365952.2365958

Moling, Omar, Baltrunas, Linas, Ricci, Francesco (2012): Optimal radio channel recommendations with explicit and implicit feedback. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 75-82. https://dx.doi.org/10.1145/2365952.2365971

Takács, Gábor, Tikk, Domonkos (2012): Alternating least squares for personalized ranking. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 83-90. https://dx.doi.org/10.1145/2365952.2365972

Said, Alan, Tikk, Domonkos, Hotho, Andreas (2012): The challenge of recommender systems challenges. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 9-10. https://dx.doi.org/10.1145/2365952.2365959

Yang, Diyi, Chen, Tianqi, Zhang, Weinan, Lu, Qiuxia, Yu, Yong (2012): Local implicit feedback mining for music recommendation. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 91-98. https://dx.doi.org/10.1145/2365952.2365973

Kluver, Daniel, Nguyen, Tien T., Ekstrand, Michael, Sen, Shilad, Riedl, John (2012): How many bits per rating?. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 99-106. https://dx.doi.org/10.1145/2365952.2365974

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New to UX Design? We're Giving You a Free eBook!

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Download our free ebook “The Basics of User Experience Design” to learn about core concepts of UX design.

In 9 chapters, we’ll cover: conducting user interviews, design thinking, interaction design, mobile UX design, usability, UX research, and many more!

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