• Mukul M. Bhonde
• Chandrashekhar H. Sawarkar
• Dr. Pramod N. Mulkalwar

Due to the enhanced capabilities to generate and collect data from varied sources, a tremendous amount of data has flooded every part of our lives. This explosion in stored data has created necessity of new techniques and tools for filtering such data into meaningful information known as data mining, also be referred as knowledge discovery from data (KDD). In terms of the scalability, Web is growing exponentially and obvious increase in redundancy of information as well. Various forms of data in unstructured, semi-structured and structured form is augmented to Web every minute. Due to this scattered and distributed nature of Web it is very challenging to surf the Web using alone search engines and plain browsers. Recommender systems (RS) are a type of information filtering system that seek to predict the 'rating' or 'preference' that user could give to an item under consideration. Recommender system is defined as a decision making strategy for users under complex information environments. Recommender systems have become prominent issue of research in recent years, and are being used for variety of web domains. All Recommender Systems (RS) apply techniques and methodologies of Data Mining (DM) for information extraction such as Similarity measures, Sampling, Dimensionality Reduction, Classification, Association-Rule- Mining (ARM) and Clustering. Recommender Systems (RS) typically apply techniques and methodologies from other neighboring areas such as Human Computer Interaction (HCI) or Information Retrieval (IR).

Data mining(DM),Knowledge discovery from data ( KDD), Information Retrieval(IR), Web mining, Recommender System(RS)

"Data Mining and Recommender System: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 2, page no.236-240, February-2020, Available :http://www.jetir.org/papers/JETIRDI06045.pdf

"Data Mining and Recommender System: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 2, page no. pp236-240, February-2020, Available at : http://www.jetir.org/papers/JETIRDI06045.pdf