A social tagging system provides users an effective way to collaboratively annotate and
organize items with their own tags. A social tagging system contains heterogeneous …

Recommender systems aim to identify relevant items for particular users in large-scale
online applications. The historical rating data of users is a valuable input resource for many …

The personalized recommender systems provide user-related services based on user
preferences; these preferences are recorded in an individual profile. Therefore, the more …

Social tagging is an information classification paradigm where the users themselves are
given the power to describe and categorize content for their own purposes using tags. The …

Topic recommendation can help users deal with the information overload issue in micro-
blogging communities. This paper proposes to use the implicit information network formed …

The personalized recommender systems provide favorite services based on user
preferences and interests. Due to the user's interests changing over time; hence the …

Thanks to the high popularity and simplicity of folksonomies, many users tend to share
objects (movies, songs, bookmarks, etc.) by annotating them with a set of tags of their own …

Recommender systems are among the most important parts of online systems, including
online stores such as Amazon, Netflix that have become very popular in the recent years …