May 31, 2011 · We proposed a new personalized tag recommendation system, PUT-Tag, that uses tag, user and content similarity in recommending tags.
May 31, 2011 · The focus of this work is to make social personalized tag recommendation for social bookmarking systems based on finding similar users and ...
The focus of this work is to make social personalized tag recommendation for social bookmarking systems based on finding similar users and similar bookmarks. We ...
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Bibliographic details on PUT-Tag: personalized user-centric tag recommendation for social bookmarking systems.
Research has shown that social tagging can classify blogs [3], enhance information retrieval [22], [18], and improve recommender systems [16]. Recommender ...
Missing: PUT- centric
Mar 1, 2012 · In this paper, we present a tag-based recommender system which suggests similar Web pages based on the similarity of their tags from a Web 2.0 tagging ...
Missing: PUT- centric
This paper outlines our experiments with del.icio.us bookmarks and tags, presents the results of tag-based user profiles, and compares the recommendations due ...
In this paper we evaluate and compare several recommen- dation algorithms on large-scale real life datasets: an adapta- tion of user-based collaborative ...
Collaborative tagging systems allow users to assign keywords—so called “tags”—to resources. Tags are used for navigation, finding resources and serendipitous ...
Missing: PUT- centric
Tag recommendations are based on tagging history and the latent personalized preference learned from those who have most influence in user's social network. We ...