信息资源管理前沿论坛:Exploring Information Seeking and Searching Intentions
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报告题目:Exploring Information Seeking and Searching Intentions: An Overview of Recent Research at Rutgers     University

报告人:Nicholas J. Belkin, Ph.D., Distinguished Professor
                Department of Library & Information Science, School of Communication & Information

                Rutgers University, New Brunswick NJ USA

报告时间:2017.12.07 (周四), 上午 9:00-12:00

报告地点:南开大学商学院 B1003

摘要:In its broadest sense, information retrieval (IR) is concerned with helping people to achieve goals, or accomplish tasks, by supporting useful interactions with information systems and information objects. The kinds of interactions that IR supports are those associated with information seeking and information searching, with the eventual goal being that the person who initiates an information seeking/search session find information that is useful for achieving the goal, or accomplishing the task, that motivated the search session. We can say that a person engages in information seeking with an intention, in general, that of resolving a problematic situation or an Anomalous State of Knowledge (problematic or anomalous with respect to the goal or task). It has been demonstrated that different types of such intentions (or goals or tasks that lead to them) lead to quite different information seeking and information searching behaviors, including understanding just what information objects might be useful for resolution. It is also the case that persons often engage in extended information searching sessions, during which they engage in a variety of different behaviors, motivated by different intentions, such as learning about a domain, deciding on good search terms, evaluating information objects, comparing information objects, finding a specific information object, and so on. Each such intention leads to different kinds of interactions (or at least, the desire on the part of the searcher for a different kind of interaction) that would be most appropriate for accomplishing the intention. Understanding information seeking and searching in this way suggests that it is important for IR systems to be able to identify the persons' intentions, in order to support appropriate forms and means of interaction with both the IR system and the information objects within that system. At Rutgers University, we have been engaged in a long-term research program in identifying, during the course of an information seeking session, seeking and search intentions at both levels, solely through the person's behaviors during that session. In this talk, I expand upon the motivation for this approach to the design of IR systems, and survey some of our major results in identifying and understanding information seeking and searching intentions.

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报告人简介:Nicholas Belkin is Distinguished Professor of Information Science in the Department of Library & Information Science, Rutgers University. Previous to that appointment, he was at the Department of Information Science, The City University, London. He has held visiting positions at the University of Western Ontario, the Free University, Berlin, and the Institute for Systems Science, National University of Singapore.

Professor Belkin has served as the Chair of the ACM SIGIR, and President of the Association for Information Science and Technology (ASIST). He is the recipient of the ASIST’s Outstanding Teacher award, its Research Award, and its Award of Merit. In 2015, he received the ACM SIGIR Gerard Salton Award, for significant, sustained and continuing contributions to research in information retrieval.

Professor Belkin is known as one of the founders of the cognitive viewpoint in information science, and as a leader in integrating information behavior research with information retrieval research. His most recent research has focused on personalization of interaction with information, especially with respect to the nature of the task which leads people to engage in information seeking, and on methods for evaluation of whole-session search. His current research project, Characterizing and Evaluating Whole Session Interactive Information Retrieval, is supported by the US National Science Foundation.