ISSN 2394-5125
 

Research Article 


ARTICLE RECOMMENDATION SYSTEM BASED ON USERíS INTEREST

Anagha Chaudhari, Mansi Kasodekar, Unmani Sonawane,Tanvi Kulkarni, Aishwarya Mule.

Abstract
Recommendation System is a software program that seeks to client determinations given their communicated inclinations, past behaviour or other information that can be gathered about the client or various clients with similar interests. The purpose of the Article Recommendation System is to reduce the amount of time spent by the user and to present the articles they are most likely unaware of. For each researcher of the same class, the classic article recommendation systems display the same results. This study provides an article recommendation technique which takes into account the work area of the researcher and the publisher's preceding publications. One of the most important developments in this work is the use of the relation of Cosine similarity to make suggestions in the article on previous user posts. As a result of the study, the users have been recommended articles. The first technique uses search terms, given a query or an entire document, to find similar articles.

Key words: Collaborative filtring(CF), Content Based Filtering, Popularity model, Global metrics, Model based, Types of the recommendation system, article recommendation system, userís research interest, recommendation, content shared


 
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How to Cite this Article
Pubmed Style

Anagha Chaudhari, Mansi Kasodekar, Unmani Sonawane,Tanvi Kulkarni, Aishwarya Mule. ARTICLE RECOMMENDATION SYSTEM BASED ON USERíS INTEREST. JCR. 2020; 7(19): 2381-2388. doi:10.31838/jcr.07.19.287


Web Style

Anagha Chaudhari, Mansi Kasodekar, Unmani Sonawane,Tanvi Kulkarni, Aishwarya Mule. ARTICLE RECOMMENDATION SYSTEM BASED ON USERíS INTEREST. http://www.jcreview.com/?mno=114947 [Access: September 15, 2020]. doi:10.31838/jcr.07.19.287


AMA (American Medical Association) Style

Anagha Chaudhari, Mansi Kasodekar, Unmani Sonawane,Tanvi Kulkarni, Aishwarya Mule. ARTICLE RECOMMENDATION SYSTEM BASED ON USERíS INTEREST. JCR. 2020; 7(19): 2381-2388. doi:10.31838/jcr.07.19.287



Vancouver/ICMJE Style

Anagha Chaudhari, Mansi Kasodekar, Unmani Sonawane,Tanvi Kulkarni, Aishwarya Mule. ARTICLE RECOMMENDATION SYSTEM BASED ON USERíS INTEREST. JCR. (2020), [cited September 15, 2020]; 7(19): 2381-2388. doi:10.31838/jcr.07.19.287



Harvard Style

Anagha Chaudhari, Mansi Kasodekar, Unmani Sonawane,Tanvi Kulkarni, Aishwarya Mule (2020) ARTICLE RECOMMENDATION SYSTEM BASED ON USERíS INTEREST. JCR, 7 (19), 2381-2388. doi:10.31838/jcr.07.19.287



Turabian Style

Anagha Chaudhari, Mansi Kasodekar, Unmani Sonawane,Tanvi Kulkarni, Aishwarya Mule. 2020. ARTICLE RECOMMENDATION SYSTEM BASED ON USERíS INTEREST. Journal of Critical Reviews, 7 (19), 2381-2388. doi:10.31838/jcr.07.19.287



Chicago Style

Anagha Chaudhari, Mansi Kasodekar, Unmani Sonawane,Tanvi Kulkarni, Aishwarya Mule. "ARTICLE RECOMMENDATION SYSTEM BASED ON USERíS INTEREST." Journal of Critical Reviews 7 (2020), 2381-2388. doi:10.31838/jcr.07.19.287



MLA (The Modern Language Association) Style

Anagha Chaudhari, Mansi Kasodekar, Unmani Sonawane,Tanvi Kulkarni, Aishwarya Mule. "ARTICLE RECOMMENDATION SYSTEM BASED ON USERíS INTEREST." Journal of Critical Reviews 7.19 (2020), 2381-2388. Print. doi:10.31838/jcr.07.19.287



APA (American Psychological Association) Style

Anagha Chaudhari, Mansi Kasodekar, Unmani Sonawane,Tanvi Kulkarni, Aishwarya Mule (2020) ARTICLE RECOMMENDATION SYSTEM BASED ON USERíS INTEREST. Journal of Critical Reviews, 7 (19), 2381-2388. doi:10.31838/jcr.07.19.287