Collaborative tagging systems allow users to annotate resources with their own tags which can reflect users' attitude on these resources and some attributes of ...

this purpose, we propose an improving recommendation method by combining with feature co-occurrence effects in collaborative tagging systems. The mechanism ...

In this paper, we reveal and elaborate on the limitations of current work on user profiling for personalized search in collaborative tagging systems. Then we ...

Bibliographic details on Improving Recommendation Based on Features' Co-occurrence Effects in Collaborative Tagging Systems.

Sep 14, 2024 · This paper proposes a collaborative filtering method with user-created tags focusing on changes of web content and internet services.

In order to address this issue, recent systems have been developed to improve recommendation by extracting latent factors from the rating matrices, or by ...

Some researchers have integrated ratings and tags into recommender systems to calculate a feature׳s co-occurrence effectiveness [6]. In these systems, some tags ...

May 28, 2020 · In this work, we propose a recommendation framework based on user interaction, so as to explore the user's real-time interest from the instant feedback.

Mar 15, 2012 · To address this characteristic a tag recommendation system based on user's ... the tagging systems (i.e., tag co-occurrence graphs).

Improving recommendation based on features' co-occurrence effects in collaborative tagging systems. In Proceedings · of the 4th asia-pacific web conference ...