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Completed Papers 4: Information Seeking and Retrieval
10:30am - 12:00pm
Session Chair: Nahyun Kwon, Myongji University
Location:Yangtze Location: Third Floor
An In-Depth Analysis of Tags and Controlled Metadata for Book Search
Toine Bogers1, Vivien Petras2
1Aalborg University Copenhagen, Denmark; 2Humboldt-Universität zu Berlin, Germany
Book search for information needs that go beyond standard bibliographic data is far from a solved problem. Such complex information needs often cover a combination of different aspects, such as specific genres or plot elements, engagement or novelty. By design, subject information in controlled vocabularies is not always adequate in covering such complex needs, and social tags have been proposed as an alternative. In this paper we present a large-scale empirical comparison and in-depth analysis of the value of controlled vocabularies and tags for book retrieval using a test collection of over 2 million book records and over 330 real-world book information needs. We find that while tags and controlled vocabulary terms provide complementary performance, tags perform better overall. However, this is not due to a popularity effect; instead, tags are better at matching the language of regular users. Finally, we perform a detailed failure analysis and show, using tags and controlled vocabulary terms, that some request types are inherently more difficult to solve than others.
Chinese Individual Investors’ Information-Seeking Behavior on the Web
Yuelin Li1, Jiqun Liu2
1Nankai University, China, People's Republic of; 2Rutgers University, USA
This study explores what types of information Chinese individual investors seek on the web and how they seek information online, based on 19 semi-structured in-depth interviews conducted in China. The results indicate that investors seek different types of information online, such as policy information, individual stock information, economic information, industrial information, and unexpected event information. Policy information is the most important for the investors, followed by individual stock information. The study also identifies several investors’ information-browsing patterns, such as focused, main-complementary, parallel, referenced, and goal-driven. The study indicates that investment context in China, the way of supporting information provision, and information-seeking tasks and goals greatly shape investors' information-seeking behavior. The study helps researchers understand characteristics of investors' information-seeking behavior. As well, it informs online investment information provision and organization and has implications for interface design of online information systems.
Re-intermediation in the Fashion Industry: A Qualitative Study on Brokers in the Dongdae-mun Fashion District
Min-Joon Kim, Nuri Na, Joong-Seek Lee
Seoul National University, Korea, Republic of (South Korea)
This study investigates the change of intermediaries’ roles in the presence of infomediaries, and the conditions that necessitate the re-introduction of the middlemen as “re-intermediaries”. We observed a group of brokers who work in the Dongdae-mun fashion district in Seoul, Korea through multi-angled observations including observations, contextual inquiries, and in-depth interviews. Our findings show that while an infomediary provides the fashion ecosystem a new way for information access, the reliability and depth of information relayed by human sources, along with the subjective nature of fashion and style have contributed to the brokers playing a major role in the fashion district. The DDM fashion district relies heavily on the brokers’ evaluations on trends and fashion in addition to their traditional role of distributing goods in a quick manner. The findings from this study can be applied to a wider range of occupations where humans and technology are competing.