A novel, generalized recommender system for social media using the collaborative-filtering technique

Autor:	J Anusha, A Ramesh, Clarence J M Tauro
Rok vydání:	2014
Předmět:	World Wide Web Scope (project management) Computer science Collaborative filtering Social media General Medicine Recommender system Data science Field (computer science)
Zdroj:	ACM SIGSOFT Software Engineering Notes. 39:1-4
ISSN:	0163-5948
DOI:	10.1145/2597716.2597721
Popis:	Our goal in this paper is to discuss various methods available for Recommender Systems and describe an end-to-end approach for designing a Recommender System for social media using the collaborative-filtering approach. We will discuss the scope of contributions made in the recommender-system field, pros and cons for the collaborative-filtering approach, and current trends and challenges involved in the market with respect to the implementation of collaborative filtering.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::83d1a2a8c538a88b9761700918549af9 https://doi.org/10.1145/2597716.2597721 Zobrazit plný text záznamu