In the research literature, evaluations of recommender system effectiveness typically report
results over a given data set, providing an aggregate measure of effectiveness over each …

Many of our daily life decisions rely on demographic data, which is a good indicator for
closeness of people. However, the lack of these data for many online systems let them …

Recommender systems are one of the information filtering tools which can be employed to
find interest items of users. Collaborative filtering is one of the recommendation methods to …

Recommender systems have been used tremendously academically and commercially,
recommendations generated by these systems aim to offer relevant interesting items to …

Friend recommendation (FR) in social networks has been widely studied in recent years,
which mainly focuses on social relationships and user interests. Friend of Friend method is …

Recommendation systems have been well established to reduce the problem of information
overload and have become one of the most valuable tools applicable to different domains …

New user recommendation is a big challenge for social networks site like reddit, where user
profile is not so much rich. The aim of this paper is to enhance recommendation process that …

Online social platforms have become increasingly more popular for people to make new
friends, by relying on the friend recommendation algorithms implemented on social …

In this paper, we present a novel method based on fuzzy geographically clustering to solve
the Cold-Start problem in Recommender Systems occurring when a new user is migrated …

Evaluating the Accuracy and Utility of Recommender Systems Page 1 Evaluating the Accuracy
and Utility of Recommender Systems vorgelegt von Master of Science Alan Said Von der …