INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
A recommender system can be defined as a system that produces individual recommendations as output, based on previous decisions that the system considers to be inputs. Book recommendation systems play an important role in book search engines, digital libraries, or book shopping web sites. In the field of recommender systems, processing data, choosing the right data characteristics, and how to classify them are challenges in determining the performance of recommender systems. This paper presents several solutions for data processing capabilities to build efficient book recommender systems. Book Crossing datasets examined in many book recommender systems are considered case studies.
Many of the products we use today are the result of
recommender systems such as music, news, books and articles. However, in this paper we would be discussing about a book recommender system on Collaborative filtering and Content based filtering while comparing the accuracy of each recommendation system.
"BOOK RECCOMMENDATION SYSTEM", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 3, page no.c229-c235, March-2023, Available :http://www.ijnrd.org/papers/IJNRD2303233.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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