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recsys | ACM Conference on Recommender Systems (RecSys)

  • 主办方 / 出版社:ACM
  • 方向:推荐系统
  • CCF等级 / JCR分区:无类
Proceedings of the 2010 ACM Conference on Recommender Systems, RecSys 2010, Barcelona, Spain, September 26-30, 2010.
注意,当前年度会议可能有其他论文集合,点击查看
Tutorial on evaluating recommender systems.

Guy Shani

Query intent prediction and recommendation.

Ricardo A. Baeza-Yates

Will recommenders kill search?: recommender systems - an industry perspective.

Ido Guy, Alejandro Jaimes, Pau Agulló, Pat Moore, Palash Nandy, Chahab Nastar, Henrik Schinzel

Global budgets for local recommendations.

Thomas Sandholm, Hang Ung, Christina Aperjis, Bernardo A. Huberman

Aggregating preference graphs for collaborative rating prediction.

Maunendra Sankar Desarkar, Sudeshna Sarkar, Pabitra Mitra

Eye-tracking product recommenders' usage.

Sylvain Castagnos, Nicolas Jones, Pearl Pu

Contests: way forward or detour?

Paul Resnick, Joseph A. Konstan, Andreas Hotho, Jesus Pindado

Performance of recommender algorithms on top-n recommendation tasks.

Paolo Cremonesi, Yehuda Koren, Roberto Turrin

On the stability of recommendation algorithms.

Gediminas Adomavicius, Jingjing Zhang

Optimizing multiple objectives in collaborative filtering.

Tamas Jambor, Jun Wang

Understanding choice overload in recommender systems.

Dirk G. F. M. Bollen, Bart P. Knijnenburg, Martijn C. Willemsen, Mark P. Graus

Fast als-based matrix factorization for explicit and implicit feedback datasets.

István Pilászy, Dávid Zibriczky, Domonkos Tikk

Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering.

Alexandros Karatzoglou, Xavier Amatriain, Linas Baltrunas, Nuria Oliver

Collaborative filtering via euclidean embedding.

Mohammad Khoshneshin, W. Nick Street

Online evolutionary collaborative filtering.

Nathan Nan Liu, Min Zhao, Evan Wei Xiang, Qiang Yang

Affiliation recommendation using auxiliary networks.

Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu, Inderjit S. Dhillon

Group-based recipe recommendations: analysis of data aggregation strategies.

Shlomo Berkovsky, Jill Freyne

Group recommendations with rank aggregation and collaborative filtering.

Linas Baltrunas, Tadas Makcinskas, Francesco Ricci

Interactive recommendations in social endorsement networks.

Theodoros Lappas, Dimitrios Gunopulos

A matrix factorization technique with trust propagation for recommendation in social networks.

Mohsen Jamali, Martin Ester

Who is talking about what: social map-based recommendation for content-centric social websites.

Shiwan Zhao, Michelle X. Zhou, Quan Yuan, Xiatian Zhang, Wentao Zheng, Rongyao Fu

Breaking out of the box of recommendations: from items to packages.

Min Xie, Laks V. S. Lakshmanan, Peter T. Wood

Automatically building research reading lists.

Michael D. Ekstrand, Praveen Kannan, James A. Stemper, John T. Butler, Joseph A. Konstan, John Riedl

Learning in efficient tag recommendation.

Marek Lipczak, Evangelos E. Milios

Recommender algorithms in activity motivating games.

Shlomo Berkovsky, Jill Freyne, Mac Coombe, Dipak Bhandari

Transitive node similarity for link prediction in social networks with positive and negative links.

Panagiotis Symeonidis, Eleftherios Tiakas, Yannis Manolopoulos

A lightweight privacy preserving SMS-based recommendation system for mobile users.

Elisa Baglioni, Luca Becchetti, Lorenzo Bergamini, Ugo Maria Colesanti, Luca Filipponi, Andrea Vitaletti, Giuseppe Persiano

Recommending twitter users to follow using content and collaborative filtering approaches.

John Hannon, Mike Bennett, Barry Smyth

RECON: a reciprocal recommender for online dating.

Luiz Augusto Sangoi Pizzato, Tomek Rej, Thomas Chung, Irena Koprinska, Judy Kay

Recommendation analytics: the business view, and the business case.

Edouard Servan-Schreiber

A belief propagation based recommender system for online services.

Erman Ayday, Faramarz Fekri

Using self-defined group activities for improvingrecommendations in collaborative tagging systems.

Danielle H. Lee, Peter Brusilovsky

Evaluating the dynamic properties of recommendation algorithms.

Robin D. Burke

Hydra: an open framework for virtual-fusion of recommendation filters.

Savvas Karagiannidis, Stefanos Antaris, Christos Zigkolis, Athena Vakali

Recommending based on rating frequencies.

Fatih Gedikli, Dietmar Jannach

Content-based recommendation in social tagging systems.

Iván Cantador, Alejandro Bellogín, David Vallet

Merging multiple criteria to identify suspicious reviews.

Guangyu Wu, Derek Greene, Padraig Cunningham

Personalizing the settings for Cf-based recommender systems.

Il Im, Byung Ho Kim

Do clicks measure recommendation relevancy?: an empirical user study.

Hua Zheng, Dong Wang, Qi Zhang, Hang Li, Tinghao Yang

A supervised machine learning link prediction approach for academic collaboration recommendation.

Nesserine Benchettara, Rushed Kanawati, Céline Rouveirol

Beyond accuracy: evaluating recommender systems by coverage and serendipity.

Mouzhi Ge, Carla Delgado-Battenfeld, Dietmar Jannach

Recommending structure in collaborative semistructured information systems.

Eva Zangerle, Wolfgang Gassler, Günther Specht

Iterative voting under uncertainty for group recommender systems.

Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira

List-wise learning to rank with matrix factorization for collaborative filtering.

Yue Shi, Martha Larson, Alan Hanjalic

Nantonac collaborative filtering: a model-based approach.

Toshihiro Kamishima, Shotaro Akaho

Social networking feeds: recommending items of interest.

Jill Freyne, Shlomo Berkovsky, Elizabeth M. Daly, Werner Geyer

Time dependency of data quality for collaborative filtering algorithms.

Toon De Pessemier, Simon Dooms, Tom Deryckere, Luc Martens

MED-StyleR: METABO diabetes-lifestyle recommender.

Stephan Hammer, Jonghwa Kim, Elisabeth André

Towards context-aware personalization and a broad perspective on the semantics of news articles.

Jeremy Jancsary, Friedrich Neubarth, Harald Trost

The YouTube video recommendation system.

James Davidson, Benjamin Liebald, Junning Liu, Palash Nandy, Taylor Van Vleet, Ullas Gargi, Sujoy Gupta, Yu He, Mike Lambert, Blake Livingston, Dasarathi Sampath

Increasing consumers' understanding of recommender results: a preference-based hybrid algorithm with strong explanatory power.

Paul Marx, Thorsten Hennig-Thurau, André Marchand

The network effects of recommending social connections.

Elizabeth M. Daly, Werner Geyer, David R. Millen

On the real-time web as a source of recommendation knowledge.

Sandra Garcia Esparza, Michael P. O'Mahony, Barry Smyth

LDA for on-the-fly auto tagging.

Ernesto Diaz-Aviles, Mihai Georgescu, Avaré Stewart, Wolfgang Nejdl

On-demand set-based recommendations.

Suhrid Balakrishnan

Characterisation of explicit feedback in an online music recommendation service.

Gawesh Jawaheer, Martin Szomszor, Patty Kostkova

An approach to situational market segmentation on on-line newspapers based on current tasks.

Anne Gutschmidt

Incremental collaborative filtering via evolutionary co-clustering.

Mohammad Khoshneshin, W. Nick Street

Modeling recommendation as a social choice problem.

Massimiliano Albanese, Antonio d'Acierno, Vincenzo Moscato, Fabio Persia, Antonio Picariello

Social navigation for the spoken web.

Robert G. Farrell, Nitendra Rajput, Rajarshi Das, Catalina M. Danis, Ketki A. Dhanesha

Common attributes in an unusual context: predicting the desirability of a social match.

Julia M. Mayer, Sara Motahari, Richard P. Schuler, Quentin Jones

Active learning driven by rating impact analysis.

Carlos Eduardo R. de Mello, Marie-Aude Aufaure, Geraldo Zimbrão

Tagmantic: a social recommender service based on semantic tag graphs and tag clusters.

János Moldvay, Ingo Bax, Alexander Frerichs, Mirko Schuh

Geolocated movie recommendations based on expert collaborative filtering.

Josep Bachs Barrio, Xavier Amatriain Rubio

Music recommendations with temporal context awareness.

Toni Cebrián, Marc Planagumà, Paulo Villegas, Xavier Amatriain

Reciprocal recommender system for online dating.

Luiz Augusto Sangoi Pizzato, Tomek Rej, Thomas Chung, Irena Koprinska, Kalina Yacef, Judy Kay

Integrating broadcast and web video content into personal tv channels.

Verus Pronk, Mauro Barbieri, Jan H. M. Korst, Adolf Proidl

Design and user issues in personality-based recommender systems.

Rong Hu

Enhanced vector space models for content-based recommender systems.

Cataldo Musto

Identifying and utilizing contextual data in hybrid recommender systems.

Alan Said

Topic-based recommendations in enterprise social media sharing platforms.

Rafael Schirru

Workshop on the practical use of recommender systems algorithms & technology.

Jérôme Picault, Dimitre Kostadinov, Pablo Castells, Alejandro Jaimes

Workshop on information heterogeneity and fusion in recommender systems (HetRec 2010).

Peter Brusilovsky, Iván Cantador, Yehuda Koren, Tsvi Kuflik, Markus Weimer

Workshop on recommender systems for technology enhanced learning.

Nikos Manouselis, Hendrik Drachsler, Katrien Verbert, Olga C. Santos

2nd workshop on recommender systems and the social web.

Werner Geyer, Jill Freyne, Bamshad Mobasher, Sarabjot S. Anand, Casey Dugan

Workshop report: WOMRAD 2010.

Amelie Anglade, Claudio Baccigalupo, Norman Casagrande, Òscar Celma, Paul Lamere

Workshop on user-centric evaluation of recommender systems and their interfaces.

Bart P. Knijnenburg, Lars Schmidt-Thieme, Dirk G. F. M. Bollen

Context-awareness in recommender systems: research workshop and movie recommendation challenge.

Gediminas Adomavicius, Alexander Tuzhilin, Shlomo Berkovsky, Ernesto William De Luca, Alan Said


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