Collaborative tagging systems, also known as folksonomies, have grown in popularity over
the Web on account of their simplicity to organize several types of content (eg, Web pages …

Classic resource recommenders like Collaborative Filtering (CF) treat users as being just
another entity, neglecting non-linear user-resource dynamics sha** attention and …

Existing group recommender systems generate a consensus function to aggregate
individual preference into group preference. However, the systems encounter difficulty in …

Classic resource recommenders like Collaborative Filtering treat users as just another entity,
thereby neglecting non-linear user-resource dynamics that shape attention and …

In recent years, with the increasing number of blogs to share information, the ratio of blogs
on the World Wide Web has been raised. In this regard, the problem of information quality …

This paper presents the power consumption estimation for the novel Virtex architecture. Due
to the fact that the XC4000 and the Virtex core architecture are very similar, we used the …

This study proposes a framework for selecting and validating data sources for public-based
technology foresight. In other words, it finds out which of the many online communities have …

In LinkedIn, skill endorsements are used as a key indicator to assess a user's skill level so
that a recruiter can find right candidates. However, the simple counting of skill endorsements …

Recommendation systems are based on a fast and effective personalized mechanism to
provide items relevant to users. In this article, an expert-based approach for …

The field of expertise extraction utilizes published research enabling communities to
highlight and identify the skills of researchers within specific scientific domains. This can be …