A Survey of Recommendation Systems
Sushma Malik, Anamika Rana, Mamta Bansal
Abstract
Today's internet is able to discover almost any product or piece of information. The large amounts of unfiltered information returned by an internet query calls for filters able to validate and rank the available options. Recommender systems (RSs) are a software tool designed to qualify the options available and make suggestions that align with the user's requirements and expectations. This paper reviews some significant applications of RSS in various areas like videos, music, eCommerce sites, news, and many more. It also reviews various filtering techniques like collaborative, content based, and hybrid.
Topics & Concepts
RSSRecommender systemThe InternetWorld Wide WebComputer scienceRank (graph theory)Collaborative filteringProduct (mathematics)SoftwareInformation retrievalMultimediaProgramming languageCombinatoricsMathematicsGeometryRecommender Systems and TechniquesImage Retrieval and Classification TechniquesVideo Analysis and Summarization