BOOK RECCOMMENDATION SYSTEM
JADDU NAVYA SATYA SRI HARIKA
, JAYA DEEPIKA SATTI , HANUMANTHU SAI SAMANVITHA
Recommender System, Collaborative Filtering, Content Based Filtering, Hybrid Filtering, Nearest Neighbor.
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", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.c229-c235, March-2023, Available :https://ijnrd.org/papers/IJNRD2303233.pdf
Volume 8
Issue 3,
March-2023
Pages : c229-c235
Paper Reg. ID: IJNRD_189018
Published Paper Id: IJNRD2303233
Downloads: 000118832
Research Area: Computer Engineering
Country: west godavari, andhra pradesh, India
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
Publisher: IJNRD (IJ Publication) Janvi Wave
