Recommender systems play an important role in helping online users find relevant
information by suggesting information of potential interest to them. Due to the potential value …

Abstract Knowledge Management (KM) is a diffuse and controversial term, which has been
used by a large number of research disciplines. CSCW, over the last 20 years, has taken a …

The classification problem is closely related to the clustering problem discussed in Chaps. 6
and 7. While the clustering problem is that of determining similar groups of data points, the …

This paper studies people recommendations designed to help users find known, offline
contacts and discover new friends on social networking sites. We evaluated four …

We study personalized item recommendation within an enterprise social media application
suite that includes blogs, bookmarks, communities, wikis, and shared files …

We study personalized recommendation of social software items, including bookmarked
web-pages, blog entries, and communities. We focus on recommendations that are derived …

This work investigates personalized social search based on the user's social relations--
search results are re-ranked according to their relations with individuals in the user's social …

In this paper we describe a novel UI and system for providing users with recommendations
of people to invite into their explicit enterprise social network. The recommendations are …

Nowadays, the exponential advancement of social networks is creating new application
areas for recommender systems (RSs). People-to-people RSs aim to exploit user's interests …

Social network analysis has recently gained a lot of interest because of the advent and the
increasing popularity of social media, such as blogs, social networking applications …