Abstract is missing.
- Recsys 09 industrial keynote: top 10 lessons learned developing deploying and operating real-world recommender systemsFrancisco J. Martin. 1-2 [doi]
- Up close and personalized: a marketing view of recommendation systemsMichel Wedel, Roland T. Rust, Tuck Siong Chung. 3-4 [doi]
- Collaborative prediction and ranking with non-random missing dataBenjamin M. Marlin, Richard S. Zemel. 5-12 [doi]
- A spatio-temporal approach to collaborative filteringZhengdong Lu, Deepak Agarwal, Inderjit S. Dhillon. 13-20 [doi]
- Pairwise preference regression for cold-start recommendationSeung-Taek Park, Wei Chu. 21-28 [doi]
- Ordering innovators and laggards for product categorization and recommendationSarah K. Tyler, Shenghuo Zhu, Yun Chi, Yi Zhang. 29-36 [doi]
- Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical modelsAkhmed Umyarov, Alexander Tuzhilin. 37-44 [doi]
- The impact of ambiguity and redundancy on tag recommendation in folksonomiesJonathan Gemmell, Maryam Ramezani, Thomas Schimoler, Laura Christiansen, Bamshad Mobasher. 45-52 [doi]
- Personalized recommendation of social software items based on social relationsIdo Guy, Naama Zwerdling, David Carmel, Inbal Ronen, Erel Uziel, Sivan Yogev, Shila Ofek-Koifman. 53-60 [doi]
- Latent dirichlet allocation for tag recommendationRalf Krestel, Peter Fankhauser, Wolfgang Nejdl. 61-68 [doi]
- TagiCoFi: tag informed collaborative filteringYi Zhen, Wu-Jun Li, Dit-Yan Yeung. 69-76 [doi]
- Search shortcuts: a new approach to the recommendation of queriesRanieri Baraglia, Fidel Cacheda, Victor Carneiro, Diego Fernandez, Vreixo Formoso, Raffaele Perego, Fabrizio Silvestri. 77-84 [doi]
- Increasing engagement through early recommender interventionJill Freyne, Michal Jacovi, Ido Guy, Werner Geyer. 85-92 [doi]
- Recommending new movies: even a few ratings are more valuable than metadataIstván Pilászy, Domonkos Tikk. 93-100 [doi]
- Regret-based optimal recommendation sets in conversational recommender systemsPaolo Viappiani, Craig Boutilier. 101-108 [doi]
- Stacking recommendation engines with additional meta-featuresXinlong Bao, Lawrence Bergman, Rich Thompson. 109-116 [doi]
- A unified approach to building hybrid recommender systemsAsela Gunawardana, Christopher Meek. 117-124 [doi]
- Exploiting user similarity based on rated-item pools for improved user-based collaborative filteringYue Shi, Martha Larson, Alan Hanjalic. 125-132 [doi]
- Assessment of conversation co-mentions as a resource for software module recommendationDaniel Xiaodan Zhou, Paul Resnick. 133-140 [doi]
- Effective diverse and obfuscated attacks on model-based recommender systemsZunping Cheng, Neil Hurley. 141-148 [doi]
- Statistical attack detectionNeil Hurley, Zunping Cheng, Mi Zhang. 149-156 [doi]
- Preserving privacy in collaborative filtering through distributed aggregation of offline profilesReza Shokri, Pedram Pedarsani, George Theodorakopoulos, Jean-Pierre Hubaux. 157-164 [doi]
- Manipulation-resistant collaborative filtering systemsBenjamin Van Roy, Xiang Yan. 165-172 [doi]
- Rate it again: increasing recommendation accuracy by user re-ratingXavier Amatriain, Josep M. Pujol, Nava Tintarev, Nuria Oliver. 173-180 [doi]
- Using a trust network to improve top-N recommendationMohsen Jamali, Martin Ester. 181-188 [doi]
- Learning to recommend with trust and distrust relationshipsHao Ma, Michael R. Lyu, Irwin King. 189-196 [doi]
- Personalised and dynamic trust in social networksFrank Edward Walter, Stefano Battiston, Frank Schweitzer. 197-204 [doi]
- A case study on the effectiveness of recommendations in the mobile internetDietmar Jannach, Kolja Hegelich. 205-208 [doi]
- A partial-order based active cache for recommender systemsUmar Qasim, Vincent Oria, Yi-fang Brook Wu, Michael E. Houle, M. Tamer Özsu. 209-212 [doi]
- A recommender system for dynamically evolving online forumsCarlos Castro-Herrera, Jane Cleland-Huang, Bamshad Mobasher. 213-216 [doi]
- A semantic framework for personalized ad recommendation based on advanced textual analysisDorothea Tsatsou, Fotis Menemenis, Ioannis Kompatsiaris, Paul C. Davis. 217-220 [doi]
- Acceptance issues of personality-based recommender systemsRong Hu, Pearl Pu. 221-224 [doi]
- Adaptive tradeoff explanations in conversational recommendersLi Chen. 225-228 [doi]
- An incentive-based architecture for social recommendationsRajat Bhattacharjee, Ashish Goel, Konstantinos Kollias. 229-232 [doi]
- Analysis of cold-start recommendations in IPTV systemsPaolo Cremonesi, Roberto Turrin. 233-236 [doi]
- Collaborative filtering for social tagging systems: an experiment with CiteULikeDenis Parra, Peter Brusilovsky. 237-240 [doi]
- Conceptual recommender system for CiteSeerXAjith Kodakateri Pudhiyaveetil, Susan Gauch, Hiep Phuc Luong, Josh Eno. 241-244 [doi]
- Context-based splitting of item ratings in collaborative filteringLinas Baltrunas, Francesco Ricci. 245-248 [doi]
- Critiquing recommenders for public taste productsPearl Pu, Maoan Zhou, Sylvain Castagnos. 249-252 [doi]
- Donation dashboard: a recommender system for donation portfoliosTavi Nathanson, Ephrat Bitton, Kenneth Y. Goldberg. 253-256 [doi]
- DynamicTV: a culture-aware recommenderFabrizio Antonelli, Gianluca Francini, Marina Geymonat, Skjalg Lepsøy. 257-260 [doi]
- Ensemble methods for improving the performance of neighborhood-based collaborative filteringAlon Schclar, Alexander Tsikinovsky, Lior Rokach, Amnon Meisels, Liat Antwarg. 261-264 [doi]
- Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systemsUmberto Panniello, Alexander Tuzhilin, Michele Gorgoglione, Cosimo Palmisano, Anto Pedone. 265-268 [doi]
- FeedbackTrust: using feedback effects in trust-based recommendation systemsSamaneh Moghaddam, Mohsen Jamali, Martin Ester, Jafar Habibi. 269-272 [doi]
- FriendSensing: recommending friends using mobile phonesDaniele Quercia, Licia Capra. 273-276 [doi]
- Generating comparative descriptions of places of interest in the tourism domainBerardina De Carolis, Nicole Novielli, Vito Leonardo Plantamura, Enrica Gentile. 277-280 [doi]
- Generating transparent, steerable recommendations from textual descriptions of itemsStephen J. Green, Paul Lamere, Jeffrey Alexander, François Maillet, Susanna Kirk, Jessica Holt, Jackie Bourque, Xiao-Wen Mak. 281-284 [doi]
- Getting recommender systems to think outside the boxZeinab Abbassi, Sihem Amer-Yahia, Laks V. S. Lakshmanan, Sergei Vassilvitskii, Cong Yu. 285-288 [doi]
- Harnessing the power of favorites lists for recommendation systemsMaryam Khezrzadeh, Alex Thomo, William W. Wadge. 289-292 [doi]
- How does high dimensionality affect collaborative filtering?Alexandros Nanopoulos, Milos Radovanovic, Mirjana Ivanovic. 293-296 [doi]
- iTag: a personalized blog taggerMichael Hart, Rob Johnson, Amanda Stent. 297-300 [doi]
- Knowledge infusion into content-based recommender systemsGiovanni Semeraro, Pasquale Lops, Pierpaolo Basile, Marco de Gemmis. 301-304 [doi]
- Learning to recommend helpful hotel reviewsMichael P. O Mahony, Barry Smyth. 305-308 [doi]
- Maximum margin matrix factorization for code recommendationMarkus Weimer, Alexandros Karatzoglou, Marcel Bruch. 309-312 [doi]
- Measuring predictive capability in collaborative filteringLuis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete, Miguel A. Rueda-Morales. 313-316 [doi]
- MoviExplain: a recommender system with explanationsPanagiotis Symeonidis, Alexandros Nanopoulos, Yannis Manolopoulos. 317-320 [doi]
- On the limitations of browsing top-N recommender systemsKlaus Seyerlehner, Arthur Flexer, Gerhard Widmer. 321-324 [doi]
- Personality aware recommendations to groupsJuan A. Recio-GarcÃa, Guillermo Jiménez-DÃaz, Antonio A. Sánchez-Ruiz-Granados, Belén DÃaz-Agudo. 325-328 [doi]
- Personalized recommendation based on the personal innovator degreeNoriaki Kawamae, Hitoshi Sakano, Takeshi Yamada. 329-332 [doi]
- Predicting social-tags for cold start book recommendationsSharon Givon, Victor Lavrenko. 333-336 [doi]
- Preference aggregation in group recommender systems for committee decision-makingJacob P. Baskin, Shriram Krishnamurthi. 337-340 [doi]
- Preference elicitation with subjective featuresCraig Boutilier, Kevin Regan, Paolo Viappiani. 341-344 [doi]
- Putting recommendations on the map: visualizing clusters and relationsEmden R. Gansner, Yifan Hu, Stephen G. Kobourov, Chris Volinsky. 345-348 [doi]
- Rating aggregation in collaborative filtering systemsFlorent Garcin, Boi Faltings, Radu Jurca, Nadine Joswig. 349-352 [doi]
- Recommendations with prerequisitesAditya G. Parameswaran, Hector Garcia-Molina. 353-356 [doi]
- Recommender systems for the conference paper assignment problemDon Conry, Yehuda Koren, Naren Ramakrishnan. 357-360 [doi]
- Recommenders influence on buyers decision processSylvain Castagnos, Nicolas Jones, Pearl Pu. 361-364 [doi]
- Team recommendation in open innovation networksMichele Brocco, Georg Groh. 365-368 [doi]
- Testing and evaluating tag recommenders in a live systemRobert Jäschke, Folke Eisterlehner, Andreas Hotho, Gerd Stumme. 369-372 [doi]
- The 3A contextual ranking system: simultaneously recommending actors, assets, and group activitiesSandy El Helou, Christophe Salzmann, Stéphane Sire, Denis Gillet. 373-376 [doi]
- Uncovering functional dependencies in MDD-compiled product cataloguesTarik Hadzic, Barry O Sullivan. 377-380 [doi]
- Understanding the effect of adaptive preference elicitation methods on user satisfaction of a recommender systemBart P. Knijnenburg, Martijn C. Willemsen. 381-384 [doi]
- Using twitter to recommend real-time topical newsOwen Phelan, Kevin McCarthy, Barry Smyth. 385-388 [doi]
- View-based recommender systemsFabián P. Lousame, Eduardo Sánchez. 389-392 [doi]
- A spatial model for collaborative filtering of comments in an online discussion forumEphrat Bitton. 393-396 [doi]
- Enhancing diversity in Top-N recommendationMi Zhang. 397-400 [doi]
- Applying relevant set correlation clustering to multi-criteria recommender systemsNkechi Nnadi. 401-404 [doi]
- Matching information content with musicMarius Kaminskas. 405-408 [doi]
- Personalized query relaxations and repairs in knowledge-based recommendationMonika Schubert. 409-412 [doi]
- Situation-aware trust managementMozhgan Tavakolifard. 413-416 [doi]
- Search the web x.0: mining and recommending web-mediated processesGabriele Tolomei. 417-420 [doi]
- Workshop on recommender systems and the social webDietmar Jannach, Werner Geyer, Casey Dugan, Jill Freyne, Sarabjot S. Anand, Bamshad Mobasher, Alfred Kobsa. 421-422 [doi]
- RecSys 09 workshop 3: workshop on context-aware recommender systems (CARS-2009)Gediminas Adomavicius, Francesco Ricci. 423-424 [doi]
- Tutorial on using social trust for recommender systemsJennifer Golbeck. 425-426 [doi]