id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_skpo2nwcjjhrha4u7r42xpqgva	Chifumi Nishioka	Influence of tweets and diversification on serendipitous research paper recommender systems	2020	20	.pdf	application/pdf	9538	1146	58	In this article, we study a research paper recommender system focusing on serendipity. methods of candidate items (i.e. research papers) for computing profiles, as well as user Along with the three factors User Profile Source, Text Mining Method, and Ranking Most existing studies have evaluated research paper recommender systems by focusing In previous studies addressing content-based research paper recommender systems Another study proposed research paper recommendations based on a user's Tweets, which 1. Candidate items of the recommender system (i.e. research papers) are processed by one build a user profile in the context of a research paper recommender system. of a user profile that have been covered by papers already selected for recommendation, each user's Tweets and research papers by matching the text with the labels of the concepts User profile based paper recommendation system. Influence of tweets and diversification on serendipitous research paper recommender systems Influence of tweets and diversification on serendipitous research paper recommender systems	./cache/work_skpo2nwcjjhrha4u7r42xpqgva.pdf	./txt/work_skpo2nwcjjhrha4u7r42xpqgva.txt