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  1. University of Computer Studies, Yangon
  2. Conferences

Recommendation System for Library using Hybrid with Pearson’s Correlation and Slope One Algorithm

http://hdl.handle.net/20.500.12678/0000005076
a53e2421-6e99-43ec-be49-0141da2a37a2
eb605ac3-01fb-4d7f-9cc6-76ff388ff015
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70_PDFsam_PSC_final 70_PDFsam_PSC_final proof.pdf (345 Kb)
Publication type Article
Upload type Publication
Title
Recommendation System for Library using Hybrid with Pearson’s Correlation and Slope One Algorithm
en
Publication date 2017-12-27
Authors
Swe, Thuzar
Win, Thinn Thinn
Description
Recommender System generates meaningfulrecommendations to users for items or productsthat might be interesting for them. It can helppeople to find interesting things and is widely usedwith the development of electronic commerce. Inthis paper, a hybrid collaborative filteringrecommender is implemented the recommendersystem for library. In a university library, readersfind it very difficult to search their favouritebooks. Even though they could possibly find thebest preferred book by the user, searching anothersimilar book to the first preferred book is difficult.So recommender system is required in a library.Pearson’s Correlation in Collaborative Filteringis used to find the similarity between the users andthe active user. The Slope One algorithm is usedto calculate the average difference in ratingamong pair of items. This system providessuggestions to the students in order to give theratings on books which is related to their needs ortargets. The readers can easily find the relevantbooks that they actually want or need.
Journal articles
Eighth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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