SocRecM: A Scalable Social Recommender Engine for Online Marketplaces

Emanuel Lacic; Dominik Kowald; Christoph Trattner

SocRecM: A Scalable Social Recommender Engine for Online Marketplaces

Information Retrieval 2014-05-09 v1

Authors: Emanuel Lacic , Dominik Kowald , Christoph Trattner

Abstract

In this paper, we present work-in-progress on SocRecM, a novel social recommendation framework for online marketplaces. We demonstrate that SocRecM is not only easy to integrate with existing Web technologies through a RESTful, scalable and easy-to-extend service-based architecture but also reveal the extent to which various social features and recommendation approaches are useful in an online social marketplace environment.

Keywords

social recommendation online marketplaces scalable architecture RESTful service social features recommendation framework

Cite

@article{arxiv.1405.1842,
  title  = {SocRecM: A Scalable Social Recommender Engine for Online Marketplaces},
  author = {Emanuel Lacic and Dominik Kowald and Christoph Trattner},
  journal= {arXiv preprint arXiv:1405.1842},
  year   = {2014}
}

Comments

2 pages

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