Textual Information Retrieval

Dumais, Susan T.

doi:10.1016/b978-0-444-70536-5.50035-x

Cited by 15 publications

(3 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Synonyms might be generated and included automatically in the search or provided for use at the user's discretion. (But see Dumais [7] for evidence that questions the value of such schemes.) Another approach would involve programming an "advisor" to detect when a strategy employed by a user is not likely to be productive.…”

Section: Future Implementations Of Superbookmentioning

confidence: 95%

“…Sets of one or more search terms are matched to all paragraphs containing at least one occurrence of each term. Other, more complex search mechanisms (e.g., full Boolean search) are not supported because previous research suggests that end users rarely use such mechanisms effectively [7]. Word searching is very fast because SuperBook has built a full-text index with an efficient data structure as a product of the preprocessing.…”

Section: Basic Superbook Functionsmentioning

confidence: 98%

See 1 more Smart Citation

Formative design evaluation of superbook

Egan¹,

Remde²,

Gomez³

et al. 1989

ACM Trans. Inf. Syst.

235

109

View full text Add to dashboard Cite

SuperBook is a hypertext browsing system designed to improve the usability of conventional documents. Successive versions of SuperBook were evaluated in a series of behavioral studies. Students searched for information in a statistics text. presented either in conventional printed form or in SuperBook form. The best version of SuperBook enabled students to answer search questions more quickly and accurately than they could with the conventional text. Students wrote higher quality "open-book" essays using SuperBook than they did with the conventional text, and their subjective ratings of the documentation strongly favored SuperBook.This work is a case study of formative design-evaluation. Behavioral evaluation of the first version of SuperBook showed how design factors and user strategies affected search and established baseline performance measures with printed text. The second version of SuperBook was implemented with the goal of improving search accuracy and speed. User strategies that had proved effective in the first study were made very easy and attractive to use. System response time for common operations was greatly improved. Behavioral evaluation of the new SuperBook demonstrated its superiority to printed text and suggested additional improvements that were incorporated into "MiteyBook," a SuperBook implementation for PC-size screens. Search with MiteyBook proved to be approximately 25 percent faster and 25 percent more accurate than that obtained with a conventional printed book.

show abstract

Section: Future Implementations Of Superbookmentioning

confidence: 95%

Section: Basic Superbook Functionsmentioning

confidence: 98%

Formative design evaluation of superbook

Egan¹,

Remde²,

Gomez³

et al. 1989

ACM Trans. Inf. Syst.

235

109

View full text Add to dashboard Cite

show abstract

“…If users know the specific terms they are looking for, then keyword-based retrieval systems provide an easy and efficient way to find information. More sophisticated keyword-based retrieval systems such as Latent Semantic Indexing (Dumais, 1988), Thesauruses (Reisner, 1966), and Adaptive Indexing (Furnas, 1985) can improve this method of retrieval.…”

Section: Introductionmentioning

confidence: 99%

Adaptive hypertext navigation based on user goals and context

Kaplan¹,

Fenwick²,

Chen

1993

User Model User-Adap Inter

View full text Add to dashboard Cite

Abstract. Hypertext systems allow flexible access to topics of information, but this flexibility has disadvantages. Users often become lost or overwhelmed by choices. An adaptive hypertext system can overcome these disadvantages by recommending information to users based on their specific information needs and preferences. Simple associative matrices provide an effective way of capturing these user preferences. Because the matrices are easily updated, they support the kind of dynamic learning required in an adaptive system. HYPERFLEX, a prototype of an adaptive hypertext system that learns, is described. Informal studies with HYPERFLEX clarify the circumstances under which adaptive systems are likely to be useful, and suggest that HYPERFLEX can reduce time spent searching for information by up to 40%. Moreover, these benefits can be obtained with relatively little effort on the part of hypertext authors or users.The simple models underlying HYPERFLEX's performance may offer a general and useful alternative to more sophisticated modelling techniques. Conditions under which these models, and similar adaptation techniques, might be most useful are discussed.

show abstract