2008 - ACM Senior Member
His main research concerns World Wide Web, Information seeking, Information retrieval, Multimedia and Data science. His World Wide Web study combines topics in areas such as Variety, Context and Library of congress. His research integrates issues of Knowledge management, End user, Task analysis and Human–computer interaction in his study of Information seeking.
Gary Marchionini has researched Information retrieval in several fields, including Key and Database. His Hypermedia study in the realm of Multimedia connects with subjects such as Digital video. His Data science research is multidisciplinary, relying on both Technological change and Exploratory research.
His primary scientific interests are in World Wide Web, Multimedia, Information retrieval, Human–computer interaction and Information seeking. The World Wide Web study combines topics in areas such as Context and Data science. His study in the field of Hypermedia also crosses realms of Digital video.
His study involves Human–computer information retrieval and Relevance, a branch of Information retrieval. Usability and Interface design are the core of his Human–computer interaction study. His study on Information seeking is mostly dedicated to connecting different topics, such as Knowledge management.
Gary Marchionini mainly investigates World Wide Web, Information retrieval, Multimedia, Information seeking and Knowledge management. His biological study spans a wide range of topics, including Context and Virtual world. His work in the fields of Video retrieval and Human–computer information retrieval overlaps with other areas such as Design rationale.
Gary Marchionini studied Multimedia and Session that intersect with Web searching. His Information seeking research is multidisciplinary, incorporating perspectives in Cognitive models of information retrieval, Emerging technologies, Search engine, Exploratory search and Data science. His Knowledge management research incorporates themes from Collaborative information seeking and Medical education.
Gary Marchionini focuses on Information seeking, Human–computer interaction, Data science, Knowledge management and Collaborative information seeking. His Information seeking research includes elements of Exploratory search, World Wide Web and Search engine. His specific area of interest is World Wide Web, where he studies Search analytics.
Gary Marchionini combines subjects such as Variety, Human–computer information retrieval and Session with his study of Search engine. His Data science study which covers Emerging technologies that intersects with Information needs. Gary Marchionini has included themes like Test, Space, Usability and Social group in his Knowledge management study.
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Information Seeking in Electronic Environments
Exploratory search: from finding to understanding
Communications of The ACM (2006)
Finding facts vs. browsing knowledge in hypertext systems
G. Marchionini;B. Shneiderman.
IEEE Computer (1988)
Information-seeking strategies of novices using a full-text electronic encyclopedia
Journal of the Association for Information Science and Technology (1989)
A self-organizing semantic map for information retrieval
Xia Lin;Dagobert Soergel;Gary Marchionini.
international acm sigir conference on research and development in information retrieval (1991)
Hypermedia and learning: freedom and chaos
Educational Technology archive (1988)
A study on video browsing strategies
Wei Ding;Gary Marchionini.
The roles of digital libraries in teaching and learning
Gary Marchionini;Hermann Maurer.
Communications of The ACM (1995)
Interfaces for end-user information seeking
Journal of the Association for Information Science and Technology (1992)
Evaluating Digital Libraries: A Longitudinal and Multifaceted View.
Library Trends (2000)
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