@conference {12197,
	title = {Domain name based visualization of Web histories in a zoomable user interface},
	booktitle = {11th International Workshop on Database and Expert Systems Applications, 2000. Proceedings},
	year = {2000},
	month = {2000///},
	pages = {591 - 598},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {Users of hypertext systems like the World Wide Web (WWW) often find themselves following hypertext links deeper and deeper, only to find themselves {\textquotedblleft}lost{\textquotedblright} and unable to find their way back to the previously visited pages. We have implemented a Web browser companion called Domain Tree Browser (DTB) that builds a tree structured visual navigation history while browsing the Web. The Domain Tree Browser organizes the URLs visited based on the domain name of each URL and shows thumbnails of each page in a zoomable window},
	keywords = {Computer science, data visualisation, domain name, domain name based visualization, Domain Tree Browser, Educational institutions, History, hypermedia, hypertext links, hypertext systems, information resources, Navigation, online front-ends, thumbnails, Tree graphs, tree structured visual navigation history, Uniform resource locators, URLs, User interfaces, Visualization, Web browser companion, Web histories, Web pages, World Wide Web, zoomable user interface, zoomable window},
	isbn = {0-7695-0680-1},
	doi = {10.1109/DEXA.2000.875085},
	author = {Gandhi,R. and Kumar,G. and Bederson, Benjamin B. and Shneiderman, Ben}
}
@article {16925,
	title = {A framework for search interfaces},
	journal = {IEEE Software},
	volume = {14},
	year = {1997},
	month = {1997/04//Mar},
	pages = {18 - 20},
	abstract = {Searching textual databases can be confusing for users. Popular search systems for the World Wide Web and stand alone systems typically provide a simple interface: users type in keywords and receive a relevance ranked list of 10 results. This is appealing in its simplicity, but users are often frustrated because search results are confusing or aspects of the search are out of their control. If we are to improve user performance, reduce mistaken assumptions, and increase successful searches, we need more predictable design. To coordinate design practice, we suggest a four-phase framework that would satisfy first time, intermittent, and frequent users accessing a variety of textual and multimedia libraries},
	keywords = {Abstracts, Cities and towns, Databases, Delay, design practice, four-phase framework, frequent users, Information retrieval, Information services, Libraries, multimedia libraries, online front-ends, popular search systems, predictable design, Protection, relevance ranked list, search interfaces, search results, stand alone systems, textual database searching, Thesauri, User interfaces, user performance, word processing, World Wide Web},
	isbn = {0740-7459},
	doi = {10.1109/52.582969},
	author = {Shneiderman, Ben}
}
@conference {13769,
	title = {Experimental investigation of high performance cognitive and interactive text filtering},
	booktitle = {, IEEE International Conference on Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century},
	volume = {5},
	year = {1995},
	month = {1995/10/22/25},
	pages = {4398-4403 vol.5 - 4398-4403 vol.5},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {Text filtering has become increasingly important as the volume of networked information has exploded in recent years. This paper reviews recent progress in that field and reports on the development of a testbed for experimental investigation of cognitive and interactive text selection based on a history of user evaluations. An interactive filtering system model is presented and a new cognitive filtering technique which the authors call the Gaussian User Model is described. Because development of analytic measures of text selection effectiveness has proven intractable, the authors have modified the Cornell SMART text retrieval system to create a flexible text filtering testbed for experimental determination of filtering effectiveness. The paper concludes with a description of the design of this testbed system},
	keywords = {Cause effect analysis, Computer science, Contracts, Cornell SMART text retrieval system, Educational institutions, Gaussian User Model, high performance cognitive interactive text filtering, History, Information filtering, Information filters, Information retrieval, information retrieval system evaluation, Libraries, Matched filters, online front-ends, Query processing, System testing, text selection effectiveness, user evaluations, User interfaces, user modelling},
	isbn = {0-7803-2559-1},
	doi = {10.1109/ICSMC.1995.538486},
	author = {Oard, Douglas and DeClaris,N. and Dorr, Bonnie J and Faloutsos,C. and Marchionini,G.}
}
