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SRS 2015 : 6th International Workshop on Social Recommender Systems (SRS 2015) - KDD'15


When Aug 10, 2015 - Aug 10, 2015
Where Sydney, Australia
Submission Deadline Jun 5, 2015
Notification Due Jun 30, 2015
Final Version Due Jul 15, 2015
Categories    recommender systems   data mining   social networks

Call For Papers


6th International Workshop on Social Recommender Systems (SRS 2015)

in conjunction with 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2015)

Sydney, Australia, August 10th, 2015


Social media sites have become tremendously popular in recent years. Yet,
the abundance and popularity of social media floods users with huge volumes
of information and hence poses a great challenge in terms of information
finding. Social Recommender Systems aim to alleviate information overload
for users by presenting the most relevant and useful information items.
Social recommender systems that suggest content (e.g., wikis and forum
posts), people, and communities often use personalization techniques to
adapt to the needs and interests of individual users, or a group of users.
This workshop will bring together researchers and practitioners around the
emerging topics of social recommender systems. We will review
state-of-the-art advances in the field and identify key challenges going

Topics of interests include, but are not limited to:

Social recommender technologies and applications
Model of recommendation context for social recommender systems
Characteristics of online social sites in need of social recommenders
Culture-specific social recommenders
New algorithms suitable for social recommender systems
People recommendation and social matching
Filtering and personalization of social streams
Emerging applications for social recommender systems
Recommendations for groups and communities
Recommender systems and the semantic web
Social recommender systems in the enterprise
Diversity and novelty in social recommender systems
Recommendations for new social media users

User Interfaces in social recommender systems
Transparency and explanations in SRS
Adaption and personalization for SRS
User feedback in SRS
Trust and reputation in SRS
Social awareness and visualization
Privacy of SRS

Evaluation methods and evaluations of SRS
User studies
Crowdsourcing for recommendation evaluation



June 12th, 2015: Submission deadline (extended)
June 30th, 2015: Paper notification
July 15th, 2015: Camera-ready submission
August 10th, 2015: Workshop held



We are seeking participants from both academia and industry who are conducting
researches on all aspects of social recommender systems. We solicit long papers,
short papers, and demonstrations on all aspects of social recommender systems.
Long papers should present original research work and can be of up to 6 pages in
length. Short papers report on work in progress and can have up to 4 pages.
Presenters of demos are asked to submit short papers describing their system.

Papers should be submitted in PDF format through the EasyChair system at Formatting should be according
to the ACM SIG Proceedings templates: Paper selection will
be based on a peer review process; there will be no double-blind review process
– author names and affiliations should be included in the paper.

All submitted papers must:
- be written in English;
- contain author names, affiliations, and email addresses;
- be formatted according to the ACM SIG Proceedings template
( with a font
size no smaller than 9pt;
- be in PDF (make sure that the PDF can be viewed on any platform), and
formatted for US Letter size;
- occupy no more than six pages, including the abstract, references, and

It is the authors’ responsibility to ensure that their submissions adhere
strictly to the required format. Submissions that do not comply with the above
guidelines may be rejected without review.
At least one author of each accepted paper must register for the workshop.
Information about registration is provided at the KDD 2015 Web page:



Jian Wang, LinkedIn Corp, USA
Ido Guy, IBM Haifa Research Lab, Israel
Li Chen, Hong Kong Baptist University, Hong Kong
Luiz Pizzato, 1-Page, Sydney, Australia

Program Committee

Amit Sharma, Cornell University, USA
Dietmar Jannach, TU Dortmund, Germany
Elizabeth M. Daly, IBM Ireland Research Lab, Ireland
Ido Guy, IBM Haifa Research Lab, Israel
Irena Koprinska, The University of Sydney, Australia
Jian Wang, LinkedIn Corp, USA
Lanbo Zhang, University of California, Santa Cruz, USA
Li Chen, Hong Kong Baptist University, Hong Kong
Liangjie Hong, Yahoo! Labs, USA
Luiz Pizzato, 1-Page, Sydney, Australia
Scott Sanner, Oregon State University, USA
Shilad Sen, Macalester College, USA
Shlomo Berkovsky, CSIRO, Australia
Weike Pan, Shenzhen University, China.

Question and inquiries:

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