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RecSys Tables of Contents: 070809101112131415

Proceedings of the 2012 ACM Conference on Recommender Systems

Fullname:Proceedings of the Sixth ACM Conference on Recommender Systems
Editors:Pádraig Cunningham; Neil Hurley; Ido Guy; Sarabjot Singh Anand
Location:Dublin, Ireland
Dates:2012-Sep-09 to 2012-Sep-13
Publisher:ACM
Standard No:ISBN: 978-1-4503-1270-7; ACM DL: Table of Contents; hcibib: RecSys12
Papers:79
Pages:360
Links:Conference Website
  1. Keynote address
  2. Tutorials
  3. Multi-objective recommendation and human factors
  4. Social recommendation
  5. Implicit feedback and user preference
  6. Contextual and semantically aware recommendation
  7. Top-N recommendation
  8. Emerging themes
  9. Industry session 1
  10. Industry session 2
  11. Short papers
  12. Industry short papers
  13. Demonstrations
  14. Doctoral symposium
  15. Workshop outlines

Keynote address

Online controlled experiments: introduction, learnings, and humbling statistics BIBAFull-Text 1-2
  Ron Kohavi

Tutorials

Conducting user experiments in recommender systems BIBAFull-Text 3-4
  Bart P. Knijnenburg
Personality-based recommender systems: an overview BIBAFull-Text 5-6
  Maria Augusta S. N. Nunes; Rong Hu
Building industrial-scale real-world recommender systems BIBAFull-Text 7-8
  Xavier Amatriain
The challenge of recommender systems challenges BIBAFull-Text 9-10
  Alan Said; Domonkos Tikk; Andreas Hotho

Multi-objective recommendation and human factors

Multiple objective optimization in recommender systems BIBAFull-Text 11-18
  Mario Rodriguez; Christian Posse; Ethan Zhang
Pareto-efficient hybridization for multi-objective recommender systems BIBAFull-Text 19-26
  Marco Tulio Ribeiro; Anisio Lacerda; Adriano Veloso; Nivio Ziviani
User effort vs. accuracy in rating-based elicitation BIBAFull-Text 27-34
  Paolo Cremonesi; Franca Garzottto; Roberto Turrin
TasteWeights: a visual interactive hybrid recommender system BIBAFull-Text 35-42
  Svetlin Bostandjiev; John O'Donovan; Tobias Höllerer

Social recommendation

Inspectability and control in social recommenders BIBAFull-Text 43-50
  Bart P. Knijnenburg; Svetlin Bostandjiev; John O'Donovan; Alfred Kobsa
Spotting trends: the wisdom of the few BIBAFull-Text 51-58
  Xiaolan Sha; Daniele Quercia; Pietro Michiardi; Matteo Dell'Amico
Real-time top-n recommendation in social streams BIBAFull-Text 59-66
  Ernesto Diaz-Aviles; Lucas Drumond; Lars Schmidt-Thieme; Wolfgang Nejdl
On top-k recommendation using social networks BIBAFull-Text 67-74
  Xiwang Yang; Harald Steck; Yang Guo; Yong Liu

Implicit feedback and user preference

Optimal radio channel recommendations with explicit and implicit feedback BIBAFull-Text 75-82
  Omar Moling; Linas Baltrunas; Francesco Ricci
Alternating least squares for personalized ranking BIBAFull-Text 83-90
  Gábor Takács; Domonkos Tikk
Local implicit feedback mining for music recommendation BIBAFull-Text 91-98
  Diyi Yang; Tianqi Chen; Weinan Zhang; Qiuxia Lu; Yong Yu
How many bits per rating? BIBAFull-Text 99-106
  Daniel Kluver; Tien T. Nguyen; Michael Ekstrand; Shilad Sen; John Riedl

Contextual and semantically aware recommendation

High quality recommendations for small communities: the case of a regional parent network BIBAFull-Text 107-114
  Sven Strickroth; Niels Pinkwart
Finding a needle in a haystack of reviews: cold start context-based hotel recommender system BIBAFull-Text 115-122
  Asher Levi; Osnat Mokryn; Christophe Diot; Nina Taft
Review quality aware collaborative filtering BIBAFull-Text 123-130
  Sindhu Raghavan; Suriya Gunasekar; Joydeep Ghosh
Context-aware music recommendation based on latent topic sequential patterns BIBAFull-Text 131-138
  Negar Hariri; Bamshad Mobasher; Robin Burke

Top-N recommendation

CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering BIBAFull-Text 139-146
  Yue Shi; Alexandros Karatzoglou; Linas Baltrunas; Martha Larson; Nuria Oliver; Alan Hanjalic
Ranking with non-random missing ratings: influence of popularity and positivity on evaluation metrics BIBAFull-Text 147-154
  Bruno Pradel; Nicolas Usunier; Patrick Gallinari
Sparse linear methods with side information for top-n recommendations BIBAFull-Text 155-162
  Xia Ning; George Karypis
Scalable similarity-based neighborhood methods with MapReduce BIBAFull-Text 163-170
  Sebastian Schelter; Christoph Boden; Volker Markl

Emerging themes

An approach to context-based recommendation in software development BIBAFull-Text 171-178
  Bruno Antunes; Joel Cordeiro; Paulo Gomes
A semantic approach to recommending text advertisements for images BIBAFull-Text 179-186
  Weinan Zhang; Li Tian; Xinruo Sun; Haofen Wang; Yong Yu
Ads and the city: considering geographic distance goes a long way BIBAFull-Text 187-194
  Diego Saez-Trumper; Daniele Quercia; Jon Crowcroft
BlurMe: inferring and obfuscating user gender based on ratings BIBAFull-Text 195-202
  Udi Weinsberg; Smriti Bhagat; Stratis Ioannidis; Nina Taft

Industry session 1

Distributed, real-time Bayesian learning in online services BIBAFull-Text 203-204
  Ralf Herbrich
Recommendation challenges in web media settings BIBAFull-Text 205-206
  Ronny Lempel

Industry session 2

I've got 10 million songs in my pocket: now what? BIBAFull-Text 207-208
  Paul B. Lamere

Short papers

Dynamic personalized recommendation of comment-eliciting stories BIBAFull-Text 209-212
  Michal Aharon; Amit Kagian; Ronny Lempel; Yehuda Koren
Using graph partitioning techniques for neighbour selection in user-based collaborative filtering BIBAFull-Text 213-216
  Alejandro Bellogin; Javier Parapar
Remembering the stars?: effect of time on preference retrieval from memory BIBAFull-Text 217-220
  Dirk Bollen; Mark Graus; Martijn C. Willemsen
Local learning of item dissimilarity using content and link structure BIBAFull-Text 221-224
  Abir De; Maunendra Sankar Desarkar; Niloy Ganguly; Pabitra Mitra
Design and evaluation of a group recommender system BIBAFull-Text 225-228
  Toon De Pessemier; Simon Dooms; Luc Martens
Swarming to rank for recommender systems BIBAFull-Text 229-232
  Ernesto Diaz-Aviles; Mihai Georgescu; Wolfgang Nejdl
When recommenders fail: predicting recommender failure for algorithm selection and combination BIBAFull-Text 233-236
  Michael Ekstrand; John Riedl
Constrained collective matrix factorization BIBAFull-Text 237-240
  Yu-Jia Huang; Evan Wei Xiang; Rong Pan
Recommending academic papers via users' reading purposes BIBAFull-Text 241-244
  Yichen Jiang; Aixia Jia; Yansong Feng; Dongyan Zhao
Influential seed items recommendation BIBAFull-Text 245-248
  Qi Liu; Biao Xiang; Enhong Chen; Yong Ge; Hui Xiong; Tengfei Bao; Yi Zheng
Discovering latent factors from movies genres for enhanced recommendation BIBAFull-Text 249-252
  Marcelo G. Manzato
Exploiting the web of data in model-based recommender systems BIBAFull-Text 253-256
  Tommaso Di Noia; Roberto Mirizzi; Vito Claudio Ostuni; Davide Romito
Probabilistic news recommender systems with feedback BIBAFull-Text 257-260
  Shankar Prawesh; Balaji Padmanabhan
Collaborative learning of preference rankings BIBAFull-Text 261-264
  Tim Salimans; Ulrich Paquet; Thore Graepel
Making recommendations in a microblog to improve the impact of a focal user BIBAFull-Text 265-268
  Shanchan Wu; Leanna Gong; William Rand; Louiqa Raschid
The influence of knowledgeable explanations on users' perception of a recommender system BIBAFull-Text 269-272
  Markus Zanker

Industry short papers

Social referral: leveraging network connections to deliver recommendations BIBAFull-Text 273-276
  Mohammad Shafkat Amin; Baoshi Yan; Sripad Sriram; Anmol Bhasin; Christian Posse
Case study on the business value impact of personalized recommendations on a large online retailer BIBAFull-Text 277-280
  Thiago Belluf; Leopoldo Xavier; Ricardo Giglio
The Xbox recommender system BIBAFull-Text 281-284
  Noam Koenigstein; Nir Nice; Ulrich Paquet; Nir Schleyen
Enlister: baidu's recommender system for the biggest Chinese Q&A website BIBAFull-Text 285-288
  Qiwen Liu; Tianjian Chen; Jing Cai; Dianhai Yu
HeyStaks: a real-world deployment of social search BIBAFull-Text 289-292
  Barry Smyth; Maurice Coyle; Peter Briggs

Demonstrations

A system for Twitter user list curation BIBAFull-Text 293-294
  Igor Brigadir; Derek Greene; Padraig Cunningham
CubeThat: news article recommender BIBAFull-Text 295-296
  Sidharth Chhabra; Paul Resnick
The demonstration of the reviewer's assistant BIBAFull-Text 297-298
  Ruihai Dong; Markus Schaal; Michael P. O'Mahony; Kevin McCarthy; Barry Smyth
Recommenders for the enterprise: event, contact, and group BIBAFull-Text 299-300
  Abigail Gertner; Beth Lavender; James Winston
Integrated content marketing BIBAFull-Text 301-302
  James Griffin
Using ratings to profile your health BIBAFull-Text 303-304
  Neal Lathia
Finding a needle in a haystack of reviews: cold start context-based hotel recommender system demo BIBAFull-Text 305-306
  Asher Levi; Osnat Mokryn; Christophe Diot; Nina Taft
Yokie: explorations in curated real-time search & discovery using Twitter BIBAFull-Text 307-308
  Owen Phelan; Kevin McCarthy; Barry Smyth
pGPA: a personalized grade prediction tool to aid student success BIBAFull-Text 309-310
  Mark Sheehan; Young Park
Recommending interesting events in real-time with foursquare check-ins BIBAFull-Text 311-312
  Max Sklar; Blake Shaw; Andrew Hogue

Doctoral symposium

An open framework for multi-source, cross-domain personalisation with semantic interest graphs BIBAFull-Text 313-316
  Benjamin Heitmann
Exploiting the characteristics of matrix factorization for active learning in recommender systems BIBAFull-Text 317-320
  Rasoul Karimi; Christoph Freudenthaler; Alexandros Nanopoulos; Lars Schmidt-Thieme
Dynamically selecting an appropriate context type for personalisation BIBAFull-Text 321-324
  Tomaš Kramár; Mária Bieliková
Utilising document content for tag recommendation in folksonomies BIBAFull-Text 325-328
  Nikolas Landia
Using group recommendation heuristics for the prioritization of requirements BIBAFull-Text 329-332
  Gerald Ninaus
Beyond lists: studying the effect of different recommendation visualizations BIBAFull-Text 333-336
  Denis Parra
The user-centered design of a recommender system for a universal library catalogue BIBAFull-Text 337-340
  Simon Wakeling
Reducing the sparsity of contextual information for recommender systems BIBAFull-Text 341-344
  Dusan Zelenik; Maria Bielikova

Workshop outlines

4th ACM RecSys workshop on recommender systems and the social web BIBFull-Text 345-346
  Bamshad Mobasher; Dietmar Jannach; Werner Geyer; Andreas Hotho
RecSys'12 workshop on human decision making in recommender systems BIBAFull-Text 347-348
  Marco de Gemmis; Alexander Felfernig; Pasquale Lops; Francesco Ricci; Giovanni Semeraro; Martijn C. Willemsen
4th workshop on context-aware recommender systems (CARS 2012) BIBAFull-Text 349-350
  Gediminas Adomavicius; Linas Baltrunas; Ernesto William de Luca; Tim Hussein; Alexander Tuzhilin
Workshop on recommendation utility evaluation: beyond RMSE -- RUE 2012 BIBAFull-Text 351-352
  Xavier Amatriain; Pablo Castells; Arjen de Vries; Christian Posse
Recommender systems challenge 2012 BIBAFull-Text 353-354
  Nikos Manouselis; Alan Said; Domonkos Tikk; Jannis Hermanns; Benjamin Kille; Hendrik Drachsler; Katrien Verbert; Kris Jack
RecSys'12 workshop on interfaces for recommender systems (InterfaceRS'12) BIBFull-Text 355-356
  Nava Tintarev; Rong Hu; Pearl Pu
1st workshop on recommendation technologies for lifestyle change 2012 BIBAFull-Text 357-358
  Bernd Ludwig; Francesco Ricci; Zerrin Yumak
Personalizing the local mobile experience: workshop at RecSys 2012 BIBAFull-Text 359-360
  Henriette Cramer; Karen Church; Neal Lathia; Daniele Quercia