1980 DEC users’ group report

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On Mining Group Patterns of Mobile Users

In this paper, we present a group pattern mining approach to derive the grouping information of mobile device users based on the spatio-temporal distances among them. Group patterns of users are determined by a distance threshold and a minimum duration. To discover group patterns, we propose the AGP and VG-growth algorithms that are derived from the Apriori and FP-growth algorithms respectively...

Group Coupon Recommendation System for Mobile Users

Recommendation systems have become an essential component of online marketing. Group recommendation is a challenging issue due to the diversity and dynamics involved in the groups. The existing works in group recommendation mainly focused on content interest of group members ignoring other characteristic useful for improving the recommendations. In this paper, a group-coupon recommendation syst...

Voting Based Group Recommendation: How Users Vote

It has been shown that social information as group structure or personality characteristics improve the group recommendation. Sometimes no such information is available, specifically when ad-hoc groups are constructed. Moreover, often the items’ content is not available (or users’ preferences are unknown). In this paper we explore the usage of voting based group recommendation and the users pre...

The KAP Parallelizer for DEC Fortran and DEC C Programs

The KAP preprocessor optimizes DEC Fortran and DEC C programs to achieve their best performance on Digital Alpha systems. One key optimization that KAP performs is the parallelization of programs for Alpha shared memory multiprocessors that use the new capabilities of the DEC OSF/1 version 3.0 operating system with DECthreads. The heart of the optimizer is a sophisticated decision process that ...