Social computing is all about collective actions and information dissemination that are besides recommender systems, while cloud computing considers much more cross-small data centers flow. The main objective of the special session on Cloud-based Recommender Systems for Social Media (CRSSM 2017) is to examine the blend of social computing with cloud computing for recommending items. This blend should lead to Social Cloud Computing in the cloud. The session will be an opportunity for academic and industry researchers to discuss challenges and present solutions for recommender systems from the cloud to users/communities.
With the help of recommendation users, systems, etc. aim at predicting what can be better and is not yet considered when filtering information. Social Small Data Centers know about the interactions of users/communities, delegate their interactions when necessary on which items can be recommended. The sharing of resources or/and preferences between different parts of the Cloud can be a basis for recommending resources to some of them depending on the domain activity.
Especially, within the social recommendation resources such as web pages, web sites, news, people, communities, can be of a great interest and suggested to the user by the mean of social information. In a Cloud Computing environment we want to know what can be recommended in terms of resources, management, communities, infrastructure, services,…, and how? What are the challenges of social recommendation in the cloud? Moreover, we want to know how the cloud can be exploited for social media to recommend resources cited above.
Topics of Interest
Topics include but are not limited to:
- Services for cloud social recommendation
- Social services for cloud recommendation
- Ontologies for cloud social recommendation
- Recommendation for application integration in the Cloud
- Resources, tags, and ratings to provide Cloud recommendation
- Data sparsity for recommending in the cloud
- Privacy management during cloud recommendation
- Items like Small Data Center (SDC), Data sets(DS), communities, provider, recommendation.
- Cloud management as a result of recommendation
- Novels items to recommend in the Cloud
- Serendipity within a DS, SDC or between DS/SDC for recommendation
WI’17 solicits original work submitted as a regular paper (limited to 6-8 pages) or short paper (limited to 4 pages) in ACM 2-column format. Each paper will be peer-reviewed by at least two PC members on the basis of technical quality, relevance, originality, significance and clarity. Accepted papers will be published in the conference workshop proceedings by ACM and indexed by EI. Papers have to be submitted via the cyberchair submission page and according to the rules specified on this page: https://wi-lab.com/cyberchair/2017/wi17/scripts/submit.php?subarea=S11&undisplay_detail=1&wh=/cyberchair/2017/wi17/scripts/ws_submit.php
Special Session Oganizers
Hakima Mellah, CERIST Alger, Algeria; hmellah [at] mail.cerist [dot] dz
Valérie MONFORT, Sorbonne, France; Valerie.monfort [at] univ-paris1 [dot] fr
Abdelkrim MEZIANE, CERIST Alger, Algeria; ameziane [at] cerist [dot] dz