posted by user: alan || 50285 views || tracked by 166 users: [display]

RecSys 2014 : ACM International Conference on Recommender Systems (RecSys) 2014


Conference Series : Conference on Recommender Systems
When Oct 6, 2014 - Oct 10, 2014
Where Foster City (Silicon Valley) CA, USA
Submission Deadline May 7, 2014
Notification Due Jul 7, 2014
Final Version Due Jul 24, 2014
Categories    recommender systems   machine learning   human computer interaction   information retrieval

Call For Papers


ACM International Conference on Recommender Systems (RecSys) 2014
Oct 6-10, 2014, Foster City, Silicon Valley, California


We are pleased to invite you to participate in the premier annual event on research and applications of recommendation technologies, the Eighth ACM Conference on Recommender Systems (RecSys 2014). The conference will be held from Oct 6 to 10, 2014 in Foster City, Silicon Valley, California. Previous conferences have been distinguished by a strong level of interaction between researchers and practitioners in the sharing of ideas, problems and solutions. The 2014 conference will continue and reinforce this tradition due to its location in Silicon Valley, the home of some of the world's largest technology companies and of thousands of startups.

We construe recommender systems broadly, including applications ranging from e-commerce to social networking, platforms from web to mobile and beyond, and a wide variety of technologies ranging from collaborative filtering to case-based reasoning. Topics of interest for RecSys 2014 include (but are not limited to):

- Algorithm scalability
- Case studies of real-world implementations
- Conversational recommender systems
- Context-aware recommenders
- Evaluation metrics and studies
- Explanations and evidence
- Group recommenders
- Impact studies
- Innovative/New applications
- Machine learning for recommendation
- Novel paradigms
- Personalization
- Preference elicitation
- Privacy and Security
- Recommendation algorithms
- Social recommenders
- User interfaces
- Semantic web technologies for recommendation
- Targeted advertising
- Trust and reputation
- Theoretical foundations
- User modelling
- User studies

We encourage various types of submissions:

- Long paper submissions should report on substantial contributions of lasting value. The maximum length is 8 pages. Each accepted long paper will be included in the conference proceedings and presented in a plenary session as part of the main conference program. We expect the review process to be highly selective: the acceptance rates for full papers in the past three years were 20-24%.
- Short paper submissions typically discuss exciting new work that is not yet mature enough for a long paper. The maximum length is 4 pages. Each accepted short paper will be included in the conference proceedings and presented in a poster session. The presentation may include a system demonstration. Note that rejected long paper submissions will not be automatically considered as short papers.

The Doctoral Consortium will provide doctoral students with the opportunity to have substantive interaction with other researchers on their dissertation topic. It will also allow students to establish a supportive community, including other doctoral students at similar stages of their dissertation research. The maximum paper length is 4 pages. Each accepted paper will be included in the conference proceedings and presented in the doctoral consortium.

The goal of the workshops is to provide additional venues for presenting research-in-progress on topics of interest and an informal forum to discuss research questions and challenges in greater depth and detail. A 2-page summary of each accepted workshop will be included in the conference proceedings.

The goal of the tutorials is to provide the larger conference community an opportunity to learn about recommender system concepts and techniques, and to serve as a venue to share presenters’ expertise with the global community of recommender system researchers and practitioners. A 2-page summary of each accepted tutorial will be included in the conference proceedings.

The demo session provides an exciting way for researchers and developers to present new recommender ideas, show off their work, and get valuable feedback from the recommender systems community. Demo submissions must include a narrated screen capture. A 2-page summary of each accepted demo will be included in the conference proceedings.

The poster session offers an opportunity for presenting late-breaking research results and speculative or innovative work in progress. The informal setting of the poster session encourages presenters and participants to engage in lively discussions about the presented work. A two-page summary of each accepted poster will be included in the extended proceedings of the conference.

All submissions and reviews will be handled electronically in PDF format. RecSys 2014 submissions should be prepared according to the standard ACM SIG proceedings format. We provide paper templates in Microsoft Word and LaTeX on the conference website. More details on the submission procedure will be available at closer to the submission deadlines. The fully-refereed proceedings will be published in the ACM Digital Library and, like past RecSys proceedings, are expected to be widely read and cited. The extended proceedings will be made available differently.

Important Dates

Long/Short Papers:
- Papers due: May 7, 2014
- Acceptance notification: July 7, 2014
- Camera-ready papers due: July 24, 2014

Doctoral Consortium Papers:
- Papers due: June 2, 2014
- Acceptance notification: July 7, 2014
- Camera-Ready papers due: July 24, 2014

Workshop Proposals:
- Proposals due: April 7, 2014
- Acceptance notification: April 28, 2014
- Workshop papers due: July 21, 2014
- Camera-ready workshop summaries due: July 24, 2014

Tutorial Proposals:
- Proposals due: May 19, 2014
- Acceptance notification: June 9, 2014
- Camera-ready tutorial summaries due: July 24, 2014

- Proposals due: May 19, 2014
- Acceptance notification: July 7, 2014
- Camera-ready demo summaries due: July 24, 2014

Posters (late-breaking contributions):
- Submissions due: July 21, 2014
- Acceptance notification: August 18, 2014
- Camera-ready poster summaries due: August 29, 2014

Conference Dates: Oct. 6-10, 2014


More information at:

LinkedIn group:
Facebook group:

General Co-chairs (general2014*):
- Alfred Kobsa, UC Irvine, USA
- Michelle Zhou, IBM, USA

Program Co-chairs (program2014*):
- Martin Ester, Simon Fraser University, Canada
- Yehuda Koren, Google, USA

Workshop Co-chairs (workshops2014*):
- Lior Rokach, Ben Gurion University, Israel
- Badrul Sarwar, eBay, USA

Tutorial Co-chairs (tutorials2014*):
- Alexander Felfernig, TU Graz, Austria
- Bee-Chung Chen, LinkedIn, USA

Doctoral Symposium Co-chairs (doctoral2014*):
- Yi Zhang, UC Santa Cruz, USA
- Shlomo Berkovsky, NICTA, Australia

Poster and Demo Co-chairs (posters2014*):
- Li Chen, Hong Kong Baptist University, China
- Jalal Mahmud, IBM Research, USA

Proceedings Chair (proceedings2014*):
- Bark Knijnenburg, UC Irvine, USA

Publicity Co-chairs (publicity2014*):
- Alan Said, CWI, The Netherlands
- Tim Hussein, University of Duisburg-Essen, Germany

Treasurer (treasurer2014*):
- Susan Crow, IBM, USA

Local Arrangements and Student Volunteer Co-chairs (local2014*):
- Jian Wang, LinkedIn, USA
- Susan Crow, IBM, USA

*) for email address, replace ‘*’ by ‘’

Related Resources

RecSys 2023   Conference on Recommender Systems
CVPR 2024   The IEEE/CVF Conference on Computer Vision and Pattern Recognition
KaRS 2023   [RecSys 2023] Fifth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS 2023)
JCICE 2024   2024 International Joint Conference on Information and Communication Engineering(JCICE 2024)
KDD_OARS 2023   3rd workshop of Online and Adaptive Recommender Systems (OARS)at KDD 2023
ICDM 2024   24th Industrial Conference on Data Mining
ISSTA 2024   The ACM SIGSOFT International Symposium on Software Testing and Analysis (Round 1)
NLDML 2024   3rd International Conference on NLP, Data Mining and Machine Learning
MLDM 2024   20th International Conference on Machine Learning and Data Mining
SIGMETRICS / Performance 2024   2024 ACM SIGMETRICS / IFIP Performance