“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …

We present a machine learning algorithm for building classifiers that are comprised of a
small number of short rules. These are restricted disjunctive normal form models. An …

The increasing practicality of the group identification approach has led to many studies of
restaurant recommendations. The success of group identification depends on how to fully …

In recent recommendation systems, the image information of items is often used in
conjunction with deep convolution network to directly learn the visual features of items …

The evaluation of collaborative filtering shares a number of similarities with that of
classification. This similarity is due to the fact that collaborative filtering can be viewed as a …

The location-based social networks (LBSN) enable users to check in their current location
and share it with other users. The accumulated check-in data can be employed for the …

With the rapid proliferation of online information, how to find useful information, such as
suitable jobs, appropriate experts, and proper projects, is really an important problem …

Context has been identified as an important factor in recommender systems. Lots of
researches have been done for context-aware recommendation. However, in current …

We ask whether the photographs published in web-based image collections do represent
different conceptualizations of a city and present a method for gathering and analyzing a …

The online recommendation system has benefited the traditional restaurant business
economically. However, finding the best restaurant during rush time and visiting new places …