Chun-Hua Tsai

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The goal of people recommender system is to generate meaningful social suggestion to users. The abundant data are the key factor in fulfilling a recommendation task, but the cost of user data in a real-world system is high. In this paper, we propose a novel approach that integrates a global search result with a personalized people recommendation system. Our(More)
A social recommender system aims to provide useful suggestion to the user and prevent social overload problem. Most of the research efforts are spent on push high relevant item on top of the ranked list, using a weight ensemble approach. However, we argue the ``learned'' static fusion is not enough to specific contexts. In this paper, we develop a series(More)
Offering diversity in the output of a recommender system is an active research question. Most of the current approaches focus on Top-N optimization, which results in poor user insight and accuracy trade-off. However, little is known about how an interactive interface can help with this issue. This pilot study shows that a multidimensional visualization(More)
This note reports on the use of ICTs by a small nonprofit organization that serves LGBT youth. Our work centers on a reflective evaluation of the use of online communities for LGBT community through qualitative interviews with the organization. Perceived issues around ICT use in the organization were shaped by the blurred lines between professional and(More)
Œe beyond-relevance objectives of recommender system are drawing more and more aŠention. For example, a diversity-enhanced interface has been shown to positively associate with overall levels of user satisfaction. However, liŠle is known about how a diversityenhanced interface can help users to accomplish various real-world tasks. In this paper, we present(More)
Publishing academic work has been recognized as a key indicator for measuring scholars’ scientific productivity and having crucial impact on their future career. However, little has been known about how the majority of researchers progress in publishing papers across disciplines. In this work, using a collection consisting of over five millions academic(More)
Network analysis has brought new perspectives in studying emergent structure in international relations. Prior work on networks of international relations has mostly relied on data derived from formal alliances and trade flows, which can hardly capture the rapidly evolving international relations due to globalization and recent advances in information(More)
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