Special issue on "Social Recommender Systems: Impact on individual life and society"

Online Information Review
http://www.emeraldgrouppublishing.com/OIR.htm

Introduction

Recommender systems (RSs) targeting the social domain have drawn the attention of the research community in recent years because of their significant potential in assisting users to cope with the proliferation of social media. The massive adoption of social applications, including social networks (e.g. Facebook and Twitter), collaborative tagging systems (e.g. Flickr and Delicious) and online communities (e.g. Linkedin and Foursquare), leads to a large volume of user-generated, heterogeneous social media. Finding relevant content, users or other knowledge, and considering also their context (e.g. mobile applications), is a challenging task for existing recommendation approaches.

Techniques in the fields of data and text mining, pattern recognition, behaviour and sentiment analysis and opinion mining, for example, enable more precise recommendations and personalised services. However, several concerns arise in the development of social recommender systems. These concerns include effectively mining multiple and heterogeneous sources of knowledge, modeling not only users but also groups and communities, considering ubiquity and context-awareness of mobile applications, developing infrastructures for supporting social big data, and dealing with security and privacy, among many others.

This special issue seeks contributions focusing on the value, impact and implications of Social Recommender Systems in both the daily activities of individuals and society as a whole. In this context, the articles are expecting to reporting novel methods and applications of Social Recommender Systems at both the theoretical and practical levels.

Researchers are invited to submit papers that illustrate research results, project findings, surveys of the field, and critical analyses of significant advances in the following areas, among others:

- RSs for online social networks such as Twitter, Facebook, etc.
- RSs for Collaborative Social Tagging Systems such as Delicious, Flickr, etc.
- RSs for groups and communities
- Context-aware social recommendation
- RSs for location-based social networks
- Emerging applications of social RSs
- User interfaces for social RSs
- Social RSs in the enterprise
- Evaluation methods and datasets for social RSs
- Social RSs on the Semantic Web
- RSs over Big social Data


GUEST EDITORS

Daniela Godoy (Corresponding editor)
ISISTAN (CONICET-UNCPBA)
Tandil, Bs. As., Argentina
Email: daniela.godoy@isistan.unicen.edu.ar

Jason J. Jung
Department of Computer Engineering
Chung-Ang University
Seoul, Republic of Korea
Email: j2jung@gmail.com

Silvia Schiaffino
ISISTAN (CONICET-UNCPBA)
Tandil, Bs. As., Argentina
Email: silvia.schiaffino@isistan.unicen.edu.ar


IMPORTANT DATES

First submission papers due: 1 February 2017
First round decisions made: 15 April 2017
Revised manuscripts due: 30 May 2017
Final decisions made: 1 July 2017
Publication: To be announced

PAPER SUBMISSION

Please see our author guidelines (http://www.emeraldgrouppublishing.com/products/journals/author_guidelines.htm?id=oir) for more details and submission instructions. Papers should be submitted via the ScholarOne system in use by Online Information Review. Please be sure to select this special issue option when you submit your paper through ScholarOne.

Prospective authors should ensure their papers meet the Special Issue scope and must adhere to OIR author guidelines. For further information, please go to http://www.emeraldgrouppublishing.com/OIR.htm.

For more information about this call for papers, please go to: http://www.emeraldgrouppublishing.com/products/journals/call_for_papers.htm?id=6634