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Paper Details
Paper Title
A Review Paper on Machine Learning Based Recommendation System
Authors
Bhumika Bhatt, Prof Premal J Patel, Prof. Hetal Gaudani
Abstract
Recommendation system plays important role in Internet world and used in many applications. It has created the collection of many application, created global village and growth for numerous information. This paper represents the overview of Approaches and techniques generated in recommendation system. Recommendation system is categorized in three classes: Collaborative Filtering, Content based and hybrid based Approach. This paper classifies collaborative filtering in two types: Memory based and Model based Recommendation .The paper elaborates these approaches and their techniques with their limitations. This survey shows the road map for research in this area.
Keywords- Recommendation, Collaborative filtering, Model based, Memory based, Content based, Hybrid
Publication Details
Unique Identification Number - IJEDR1404092Page Number(s) - 3955-3961Pubished in - Volume 2 | Issue 4 | Dec 2014DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Bhumika Bhatt, Prof Premal J Patel, Prof. Hetal Gaudani, "A Review Paper on Machine Learning Based Recommendation System", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 4, pp.3955-3961, Dec 2014, Available at :http://www.ijedr.org/papers/IJEDR1404092.pdf
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