About: Accurate News Recommendation Coalescing Personal and Global Temporal Preferences

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Accurate News Recommendation Coalescing Personal and Global Temporal Preferences
Creator	Jeon, Hyunsik Kang, U Koo, Bonhun
source	PMC
abstract	Given session-based news watch history of users, how can we precisely recommend news articles? Unlike other items for recommendation, the worth of news articles decays quickly and various news sources publish fresh ones every second. Moreover, people frequently select news articles regardless of their personal preferences to understand popular topics at a specific time. Conventional recommendation methods, designed for other recommendation domains, give low performance because of these peculiarities of news articles. In this paper, we propose PGT (News Recommendation Coalescing Personal and Global Temporal Preferences), an accurate news recommendation method designed with consideration of the above characteristics of news articles. PGT extracts latent features from both personal and global temporal preferences to sufficiently reflect users’ behaviors. Furthermore, we propose an attention based architecture to extract adequate coalesced features from both of the preferences. Experimental results show that PGT provides the most accurate news recommendation, giving the state-of-the-art accuracy.
has issue date	2020-04-17(xsd:dateTime)
bibo:doi	10.1007/978-3-030-47426-3_7
has license	no-cc
sha1sum (hex)	c2eeb85dc8ef7ff94542a025709c0b34e971297d
schema:url	https://doi.org/10.1007/978-3-030-47426-3_7
resource representing a document's title	Accurate News Recommendation Coalescing Personal and Global Temporal Preferences
has PubMed Central identifier	PMC7206194
schema:publication	Advances in Knowledge Discovery and Data Mining
resource representing a document's body	covid:c2eeb85dc8ef7ff94542a025709c0b34e971297d#body_text
is schema:about of	named entity 'users' named entity 'DECAYS' named entity 'NEWS' named entity 'news' named entity 'news' »more»

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