SocRecM: A Scalable Social Recommender Engine for Online Marketplaces

TL;DR

This paper introduces SocRecM, a scalable social recommendation engine designed for online marketplaces, emphasizing its ease of integration and the effectiveness of social features in enhancing recommendations.

Contribution

The paper presents SocRecM, a novel, scalable, and easily integrable social recommendation framework tailored for online marketplaces.

Findings

SocRecM is easily integrated with existing web technologies.

Social features significantly improve recommendation quality.

The framework is scalable and extendable.

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.