id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_p4f7mjg22ravlpruv2gop7ixge	Nirmal Jonnalagedda	Incorporating popularity in a personalized news recommender system	2016	22	.pdf	application/pdf	9410	815	59	recommends interesting news articles to the user based on their popularity as well as recommender systems that help users find the information they need, based on their recommends interesting news articles to the user using a micro-blogging service "Twitter." recommender systems recommend interesting news articles to the user solely based on the since they rank the news articles based on the user's interests. Profile-based, or personalized, news recommender systems recommend articles to the recommend news articles to the user that are both relevant to their interests and popular Our basic approach is to recommend interesting news articles to the user based on a The second module ranks the news articles based on their similarity to a user's profile. The news articles are ranked based on their similarity between the categories in the user's two modules to produce a recommendation based on both the articles popularity to users	./cache/work_p4f7mjg22ravlpruv2gop7ixge.pdf	./txt/work_p4f7mjg22ravlpruv2gop7ixge.txt