Evaluating Prediction Accuracy for Collaborative Filtering Algorithms in Recommender Systems. Salam Patrous, Z. & Najafi, S. Ph.D. Thesis, KTH Royal Institute of Technology, Stockholm, Sweden, 2016.
Paper abstract bibtex Recommender systems are a relatively new technology that is commonly used by e-commerce websites and streaming services among others, to predict user opinion about products. This report studies two ...
@phdthesis{salam_patrous_evaluating_2016,
address = {Stockholm, Sweden},
title = {Evaluating {Prediction} {Accuracy} for {Collaborative} {Filtering} {Algorithms} in {Recommender} {Systems}},
url = {http://kth.diva-portal.org/smash/record.jsf?aq2=%5B%5B%5D%5D&c=1&af=%5B%5D&searchType=LIST_LATEST&query=&language=en&pid=diva2%3A927356&aq=%5B%5B%5D%5D&sf=all&aqe=%5B%5D&sortOrder=author_sort_asc&onlyFullText=false&noOfRows=50&dswid=-7195},
abstract = {Recommender systems are a relatively new technology that is commonly used
by e-commerce websites and streaming services among others, to predict
user opinion about products. This report studies two ...},
urldate = {2016-06-13},
school = {KTH Royal Institute of Technology},
author = {Salam Patrous, Ziad and Najafi, Safir},
year = {2016},
}
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