id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_kxlz6lnai5bdbllarzrckrpaxa	Muhammad Ibrahim	Design and Application of a Multi-Variant Expert System Using Apache Hadoop Framework	2018	21	.pdf	application/pdf	12142	1401	64	use either quantitative (likes, ratings, etc.) or qualitative data (polarity score, sentiment score, etc.) only provides topic-based (fiction, comedy, horror, etc.) movie recommendation but also uses both quantitative and qualitative data to achieve a true and relevant recommendation of a movie relevant polarity score from user reviews, which represent the qualitative aspect of likeness of a movie. system uses a multi-variant popularity matrix to recommend a suitable movie to a user on the basis logic-based module provides the final recommendation of movies in a particular field of user's (rating, votes and likes) of the movies are normalized and computed to achieve weighted aggregate of The proposed approach works on the fetched data (scores and reviews) from a set of movie The proposed approach works on the fetched data (scores and reviews) from a set of movie Some computed values such as polarity scores of movie reviews from participating sites, which are	./cache/work_kxlz6lnai5bdbllarzrckrpaxa.pdf	./txt/work_kxlz6lnai5bdbllarzrckrpaxa.txt