Tagging has recently emerged as a popular way for users to annotate, organize and share resources on the Web. Several research tasks have shown that tags can ...
In the light of the facts that both the rating activity and tagging activity can reflect users' opinions, this paper proposes a factor analysis approach called ...
Zhou T. C. et al. put forward a uniformed recommender framework (TagRec), based on probabilistic matrix factorization by utilizing both users' tags information ...
Abstract—Due to the exponential growth of information on the. Web, Recommender Systems have been developed to generate suggestions to help users overcome ...
A factor analysis approach called TagRec is proposed based on a unified probabilistic matrix factorization by utilizing both users' tagging information and ...
In the light of the facts that both the rating activity and tagging activity can reflect users' opinions, this paper proposes a factor analysis approach called ...
Tagging systems provide users with a promising way to freely associate tags with web resources, which are good at reflecting the users' actual opinions. Thus, ...
Feb 19, 2015 · This article presents TagRec, a framework to foster reproducible evaluation and development of recommender algorithms based on folksonomy ...
This work deals with the question of how user-provided tagging data can be used to improve the quality of recommender systems. Tag-based recommendations and ...
Nov 7, 2021 · We propose a sequence-oblivious generation method for tag recommendation, in which the next tag to be generated is independent of the order of ...
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