添加

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
Seventh ACM Conference on Recommender Systems, RecSys '13, Hong Kong, China, October 12-16, 2013.
注意,当前年度会议可能有其他论文集合,点击查看
Context-aware review helpfulness rating prediction.

Jiliang Tang, Huiji Gao, Xia Hu, Huan Liu

Query-driven context aware recommendation.

Negar Hariri, Bamshad Mobasher, Robin D. Burke

Location-aware music recommendation using auto-tagging and hybrid matching.

Marius Kaminskas, Francesco Ricci, Markus Schedl

Spatial topic modeling in online social media for location recommendation.

Bo Hu, Martin Ester

Orthogonal query recommendation.

Hossein Vahabi, Margareta Ackerman, David Loker, Ricardo A. Baeza-Yates, Alejandro López-Ortiz

Understanding and improving relational matrix factorization in recommender systems.

Li Pu, Boi Faltings

Retargeted matrix factorization for collaborative filtering.

Oluwasanmi Koyejo, Sreangsu Acharyya, Joydeep Ghosh

Trading-off among accuracy, similarity, diversity, and long-tail: a graph-based recommendation approach.

Lei Shi

Nonlinear latent factorization by embedding multiple user interests.

Jason Weston, Ron J. Weiss, Hector Yee

Diffusion-aware personalized social update recommendation.

Ye Pan, Feng Cong, Kailong Chen, Yong Yu

Recommending branded products from social media.

Yongzheng Zhang, Marco Pennacchiotti

Top-N recommendations from implicit feedback leveraging linked open data.

Vito Claudio Ostuni, Tommaso Di Noia, Eugenio Di Sciascio, Roberto Mirizzi

Exploring temporal effects for location recommendation on location-based social networks.

Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu

The curated web: a recommendation challenge.

Zurina Saaya, Rachael Rafter, Markus Schaal, Barry Smyth

Personalized news recommendation with context trees.

Florent Garcin, Christos Dimitrakakis, Boi Faltings

What to read next?: making personalized book recommendations for K-12 users.

Maria Soledad Pera, Yiu-Kai Ng

Movie recommender system for profit maximization.

Amos Azaria, Avinatan Hassidim, Sarit Kraus, Adi Eshkol, Ofer Weintraub, Irit Netanely

Xbox movies recommendations: variational bayes matrix factorization with embedded feature selection.

Noam Koenigstein, Ulrich Paquet

Personalized next-song recommendation in online karaokes.

Xiang Wu, Qi Liu, Enhong Chen, Liang He, Jingsong Lv, Can Cao, Guoping Hu

Topic diversity in tag recommendation.

Fabiano Belém, Rodrygo L. T. Santos, Jussara M. Almeida, Marcos André Gonçalves

Rating support interfaces to improve user experience and recommender accuracy.

Tien T. Nguyen, Daniel Kluver, Ting-Yu Wang, Pik-Mai Hui, Michael D. Ekstrand, Martijn C. Willemsen, John Riedl

ReComment: towards critiquing-based recommendation with speech interaction.

Peter Grasch, Alexander Felfernig, Florian Reinfrank

Hidden factors and hidden topics: understanding rating dimensions with review text.

Julian J. McAuley, Jure Leskovec

Improving augmented reality using recommender systems.

Zhuo Zhang, Shang Shang, Sanjeev R. Kulkarni, Pan Hui

Exploiting non-content preference attributes through hybrid recommendation method.

Fernando Mourão, Leonardo C. da Rocha, Joseph A. Konstan, Wagner Meira Jr.

Hybrid event recommendation using linked data and user diversity.

Houda Khrouf, Raphaël Troncy

Pairwise learning in recommendation: experiments with community recommendation on linkedin.

Amit Sharma, Baoshi Yan

Which app will you use next?: collaborative filtering with interactional context.

Nagarajan Natarajan, Donghyuk Shin, Inderjit S. Dhillon

A food recommender for patients in a care facility.

Toon De Pessemier, Simon Dooms, Luc Martens

Evaluation of recommendations: rating-prediction and ranking.

Harald Steck

You are what you consume: a bayesian method for personalized recommendations.

Konstantinos Babas, Georgios Chalkiadakis, Evangelos Tripolitakis

To personalize or not: a risk management perspective.

Weinan Zhang, Jun Wang, Bowei Chen, Xiaoxue Zhao

Online multi-task collaborative filtering for on-the-fly recommender systems.

Jialei Wang, Steven C. H. Hoi, Peilin Zhao, Zhiyong Liu

Learning to rank recommendations with the k-order statistic loss.

Jason Weston, Hector Yee, Ron J. Weiss

A fast parallel SGD for matrix factorization in shared memory systems.

Yong Zhuang, Wei-Sheng Chin, Yu-Chin Juan, Chih-Jen Lin

DrunkardMob: billions of random walks on just a PC.

Aapo Kyrola

Using maximum coverage to optimize recommendation systems in e-commerce.

Mikael Hammar, Robin Karlsson, Bengt J. Nilsson

Efficient top-n recommendation for very large scale binary rated datasets.

Fabio Aiolli

Distributed matrix factorization with mapreduce using a series of broadcast-joins.

Sebastian Schelter, Christoph Boden, Martin Schenck, Alexander Alexandrov, Volker Markl

Catch-up TV recommendations: show old favourites and find new ones.

Mengxi Xu, Shlomo Berkovsky, Sebastien Ardon, Sipat Triukose, Anirban Mahanti, Irena Koprinska

Generating supplemental content information using virtual profiles.

Haishan Liu, Mohammad Shafkat Amin, Baoshi Yan, Anmol Bhasin

A people-to-people content-based reciprocal recommender using hidden markov models.

Ammar Alanazi, Michael Bain

Acquiring user profiles from implicit feedback in a conversational recommender system.

Henry Blanco, Francesco Ricci

A system for advice provision in multiple prospectselection problems.

Amos Azaria, Sarit Kraus, Ariella Richardson

Clustering-based factorized collaborative filtering.

Nima Mirbakhsh, Charles X. Ling

Cross social networks interests predictions based ongraph features.

Amit Tiroshi, Shlomo Berkovsky, Mohamed Ali Kâafar, Terence Chen, Tsvi Kuflik

Differential data analysis for recommender systems.

Richard Chow, Hongxia Jin, Bart P. Knijnenburg, Gökay Saldamli

Effectiveness of the data generated on different time in latent factor model.

Qianru Zheng, Horace H. S. Ip

Interview process learning for top-n recommendation.

Fangwei Hu, Yong Yu

Escape the bubble: guided exploration of music preferences for serendipity and novelty.

Maria Taramigkou, Efthimios Bothos, Konstantinos Christidis, Dimitris Apostolou, Gregoris Mentzas

Evaluating top-n recommendations "when the best are gone".

Paolo Cremonesi, Franca Garzotto, Massimo Quadrana

An analysis of tag-recommender evaluation procedures.

Stephan Doerfel, Robert Jäschke

Recommendation in heterogeneous information networks with implicit user feedback.

Xiao Yu, Xiang Ren, Yizhou Sun, Bradley Sturt, Urvashi Khandelwal, Quanquan Gu, Brandon Norick, Jiawei Han

Recommendation opportunities: improving item prediction using weighted percentile methods in collaborative filtering systems.

Panagiotis Adamopoulos, Alexander Tuzhilin

Improving user profile with personality traits predicted from social media content.

Rui Gao, Bibo Hao, Shuotian Bai, Lin Li, Ang Li, Tingshao Zhu

Leveraging the citation graph to recommend keywords.

Ido Blank, Lior Rokach, Guy Shani

Local context modeling with semantic pre-filtering.

Victor Codina, Francesco Ricci, Luigi Ceccaroni

Musical recommendations and personalization in a social network.

Dmitry Bugaychenko, Alexandr Dzuba

Not by search alone: how recommendations complement search results.

Daria Dzyabura, Alexander Tuzhilin

OFF-set: one-pass factorization of feature sets for online recommendation in persistent cold start settings.

Michal Aharon, Natalie Aizenberg, Edward Bortnikov, Ronny Lempel, Roi Adadi, Tomer Benyamini, Liron Levin, Ran Roth, Ohad Serfaty

Personalised ranking with diversity.

Neil J. Hurley

Prior ratings: a new information source for recommender systems in e-commerce.

Guibing Guo, Jie Zhang, Daniel Thalmann, Neil Yorke-Smith

Probabilistic collaborative filtering with negative cross entropy.

Alejandro Bellogín, Javier Parapar, Pablo Castells

Recommending improved configurations for complex objects with an application in travel planning.

Amihai Savir, Ronen I. Brafman, Guy Shani

Recommending patents based on latent topics.

Ralf Krestel, Padhraic Smyth

Recommending scientific articles using bi-relational graph-based iterative RWR.

Geng Tian, Liping Jing

Sample selection for MCMC-based recommender systems.

Thierry Silbermann, Immanuel Bayer, Steffen Rendle

Selecting content-based features for collaborative filtering recommenders.

Royi Ronen, Noam Koenigstein, Elad Ziklik, Nir Nice

Sentimental product recommendation.

Ruihai Dong, Michael P. O'Mahony, Markus Schaal, Kevin McCarthy, Barry Smyth

Set-oriented personalized ranking for diversified top-n recommendation.

Ruilong Su, Li'ang Yin, Kailong Chen, Yong Yu

Towards scalable and accurate item-oriented recommendations.

Noam Koenigstein, Yehuda Koren

Using geospatial metadata to boost collaborative filtering.

Alexander Ostrikov, Lior Rokach, Bracha Shapira

When power users attack: assessing impacts in collaborative recommender systems.

David C. Wilson, Carlos E. Seminario

xCLiMF: optimizing expected reciprocal rank for data with multiple levels of relevance.

Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha Larson, Alan Hanjalic

Evolving friend lists in social networks.

Jacob W. Bartel, Prasun Dewan

Exploratory and interactive daily deals recommendation.

Anísio Lacerda, Adriano Veloso, Nivio Ziviani

Dynamic generation of personalized hybrid recommender systems.

Simon Dooms

Accuracy and robustness impacts of power user attacks on collaborative recommender systems.

Carlos E. Seminario

Integrating trust and similarity to ameliorate the data sparsity and cold start for recommender systems.

Guibing Guo

Agent-based computational investing recommender system.

Mona Taghavi, Kaveh Bakhtiyari, Edgar Scavino

Beyond rating prediction accuracy: on new perspectives in recommender systems.

Panagiotis Adamopoulos

Anytime algorithms for top-N recommenders.

David Ben-Shimon

GAIN: web service for user tracking and preference learning - a smart TV use case.

Jaroslav Kuchar, Tomás Kliegr

PEN RecSys: a personalized news recommender systems framework.

Florent Garcin, Boi Faltings

A heterogeneous graph-based recommendation simulator.

Yeonchan Ahn, Sungchan Park, Sangkeun Lee, Sang-goo Lee

Design and evaluation of a client-side recommender system.

Chris Newell, Libby Miller

Sage: recommender engine as a cloud service.

Royi Ronen, Noam Koenigstein, Elad Ziklik, Mikael Sitruk, Ronen Yaari, Neta Haiby-Weiss

The fifth ACM RecSys workshop on recommender systems and the social web.

Bamshad Mobasher, Dietmar Jannach, Werner Geyer, Jill Freyne, Andreas Hotho, Sarabjot Singh Anand, Ido Guy

Workshop on human decision making in recommender systems: decisions@RecSys'13.

Li Chen, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Francesco Ricci, Giovanni Semeraro, Martijn C. Willemsen

Workshop and challenge on news recommender systems.

Mozhgan Tavakolifard, Jon Atle Gulla, Kevin C. Almeroth, Frank Hopfgartner, Benjamin Kille, Till Plumbaum, Andreas Lommatzsch, Torben Brodt, Arthur Bucko, Tobias Heintz

Workshop on recommender systems meet big data & semantic technologies: SeRSy 2013.

Marco de Gemmis, Tommaso Di Noia, Ora Lassila, Pasquale Lops, Thomas Lukasiewicz, Giovanni Semeraro

Workshop on reproducibility and replication in recommender systems evaluation: RepSys.

Alejandro Bellogín, Pablo Castells, Alan Said, Domonkos Tikk

First workshop on large-scale recommender systems: research and best practice(LSRS 2013).

Tao Ye, Danny Bickson, Quan Yuan

RecSys challenge 2013.

Jim Blomo, Martin Ester, Marty Field

Recommendation in social networks.

Martin Ester

Learning to rank for recommender systems.

Alexandros Karatzoglou, Linas Baltrunas, Yue Shi

Beyond friendship: the art, science and applications of recommending people to people in social networks.

Luiz Augusto Pizzato, Anmol Bhasin

Tutorial on preference handling.

Alexis Tsoukiàs, Paolo Viappiani


回到顶部