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Mobile media sharing has become an increasingly commonly activity. Using a dairy study, we investigated motivations behind mobile media sharing. Participants maintained a month-long diary, documenting their media sharing activities. Post-study interviews were also conducted to elicit additional information. Results suggest a range of motivational factors for media sharing behavior. These include personal...
Mobile information retrieval is characterized by the need to provide the right amount of relevant information for the right context so as to maximize the effectiveness of the limited screen size and processing capability of hand held devices. Context would typically include user profiles, user preferences, location, time of day, and others. To design better mobile information retrieval systems that...
The reduction in news cycle time coupled with high Internet penetration have resulted in a phenomenon known as `citizen journalism' where ordinary people who are non-journalists collect, analyze and disseminate news pieces. This paper leverages tags drawn from iReport, an active citizen journalism Website to elicit breaking news. The goal is to examine the coverage and effectiveness of news elicitation...
We introduce MobiTOP (mobile tagging of objects and people), a map-based application which allows users to contribute and share geo-referenced multimedia annotations via mobile devices. An important feature of MobiTOP is that annotations are hierarchical, allowing annotations to be annotated to an arbitrary depth. MobiTOPpsilas interface was designed using a participatory design methodology to ensure...
We present a trend analysis of the question answering (QA) domain. Using bibliometric mapping, we sketched the boundary of the domain by uncovering the topics central to and peripheral to QA research in the new millennium. This paper visualizes the evolution of concepts in the QA domain by studying the dynamics of the QA research during the periods 2000 - 2003 and 2004 - 2007. It was found that question...
Question classification is an important part in modern Question Answering systems. Most approaches to question classification are based on handcrafted rules. Recent studies classify simple questions using machine learning techniques and recommends SVM as on of the best performing classifiers. This study applies a hierarchical classifier based on the SVM machine learning algorithm on questions posed...
Collaborative querying harnesses the collective search experiences of users for query formulation. We present the Query Graph Visualizer (QGV), a visual collaborative querying system that recommends related queries to a userpsilas submitted query through a network visualization scheme. Users are able to explore the query network and select queries for execution on an information retrieval (IR) system...
Social tagging allows users to assign keywords (tags) to resources facilitating their future access by the tag creator, and possibly by other users. In terms of its support for resource discovery, social tagging has both proponents and critics. The goal of this paper investigates if tags are an effective means for helping users locate useful resources. Adopting techniques from text categorization,...
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