There exist situations of decision-making under information overload in the Internet, where
people have an overwhelming number of available options to choose from, eg products to …

People-to-people recommenders constitute an important class of recommender systems.
Examples include online dating, where people have the common goal of finding a partner …

A common perception is that online dating systems “match” people on the basis of profiles
containing demographic and psychographic information and/or user interests. In contrast …

Reciprocal recommender systems refer to systems from which users can obtain
recommendations of other individuals by satisfying preferences of both parties being …

In this paper, we propose a multi-objective learning approach for online recruiting. Online
recruiting and online dating are the most known reciprocal recommendation problems …

Online recruiting systems have gained immense attention in the wake of more and more job
seekers searching jobs and enterprises finding candidates on the Internet. A critical problem …

In this paper we study user behavior in online dating, in particular the differences between
the implicit and explicit user preferences. The explicit preferences are stated by the user …

With the expansion of virtual social networks, finding and recommending appropriate and
favorite information and items to users is one of the severe issues in their development. To …

This paper explores ways to address the problem of the high cost problem of poor
recommendations in reciprocal recommender systems. These systems recommend one …

Timebanking is a growing type of peer-to-peer service exchange, but is hampered by the
effort of finding good transaction partners. We seek to reduce this effort by using a Matching …