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Group recommendation has become highly demanded when users communicate in the forms of group activities in online sharing communities. These group activities include student group study, family TV program watching, friends travel decision, etc. Existing group recommendation techniques mainly focus on the small user groups. However, online sharing communities have enabled group activities among thousands of users. Accordingly, recommendation over large groups has become urgent. In this paper, we propose a new framework to accomplish this goal by exploring the group interests and the connections between group users. We first divide a big group into different interest subgroups, each of which contains users closely connected with each other and sharing the similar interests. Then, for each interest subgroup, our framework exploits the connections between group users to collect a comparably compact potential candidate set of media-user pairs, on which the collaborative filtering is performed to generate an interest subgroup-based recommendation list. After that, a novel aggregation function is proposed to integrate the recommended media lists of all interest subgroups as the final group recommendation results. Extensive experiments have been conducted on two real social media datasets to demonstrate the effectiveness and efficiency of our proposed approach. [ABSTRACT FROM AUTHOR]

Poor-quality remains a pervasive challenge for the delivery of large-scale transport infrastructure projects. Typically, it manifests as nonconformance and often requires rework. If, however, a nonconformance goes unidentified, then an asset's integrity can be jeopardized and put people's lives at risk. Hence, governments should shoulder the responsibility for quality. In practice, however, there has been a proclivity for governments to place fixed-price contracts and high-level quality risks on contractors. Yet, there is a dearth of research that has addressed the issue of poor-quality within large-scale transport infrastructure projects. In this article, we attempt to fill this gap and adopt an illustrative case-study approach to garner an understanding as to why poor-quality manifests during the construction of large-scale transport projects. We examine the issue of poor-quality in three high-profile rail transit projects using the gray literature: 1) Delhi Airport Metro Express (India); 2) Honolulu Rail Transit (United States); and 3) Sydney Skytrain (Australia). Then, drawing on empirical observations from two road projects, a highway corridor and a busway, we bring to the fore the poor-quality issue that pervades practice. To curb poor-quality, we suggest that the public and private sectors work collaboratively and share risks to ensure the benefits and value of an asset can be realized. To facilitate the process of collaboration and sharing of quality risks, we propose a Standard Life-cycle Quality Assessment system that can be used to ensure projects conform to standards and requirements. [ABSTRACT FROM AUTHOR]