Abstract For recommender systems that base their product rankings primarily on a measure
of similarity between items and the user query, it can often happen that products on the
recommendation list are highly similar to each other and lack diversity. In this article we ...

Abstract The monumental cost of health care, especially for chronic disease treatment, is
quickly becoming unmanageable. This crisis has motivated the drive towards preventative
medicine, where the primary concern is recognizing disease risk and taking action at the ...

Abstract Recommender systems are considered as an answer to the information overload in
a web environment. Such systems recommend items (movies, music, books, news, web
pages, etc.) that the user should be interested in. Collaborative filtering recommender ...

Abstract We introduce and study the spectral evolution model, which characterizes the
growth of large networks in terms of the eigenvalue decomposition of their adjacency
matrices: In large networks, changes over time result in a change of a graph's spectrum, ...

Abstract We consider the problem of developing a recommender system for suggesting
suitable matches in an online dating web site. The main problem to be solved is that
matches must be highly personalized. Moreover, in contrast to typical product ...

Abstract—In the field of service computing, reputation of a Web service is usually calculated
using feedback ratings provided by service users. However, the existing of malicious ratings
and different preferences of different service users often lead to a bias towards positive or ...

Collaborative filtering (CF) is a data analysis task appearing in many challenging
applications, in particular data mining in Internet and e-commerce. CF can often be
formulated as identifying patterns in a large and mostly empty rating matrix. In this paper, ...

Abstract—Due to the change in attitudes and lifestyles, people expect to find new partners
and friends via various ways nowa-days. Online dating networks create a network for people
to meet each other and allow making contact with different objectives of developing a ...

Abstract Collaborative filtering (CF) is a method to perform automated suggestions for a user
based on the opinion of other users with similar interest. Most of the CF algorithms do not
take into account the existent duality between users and items, considering only the ...

Abstract In recent years, services science has emerged as a discipline of increasing
importance, and one that aims to promote service innovation and increase service
productivity by aligning disparate scientific, management, and engineering perspectives. It ...