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Turtle, H.; Croft, W.B.: Inference networks for document retrieval (1990)
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- Footnote
- Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.287-298
- Pages
- S.1-24
- Type
- a
-
Allan, J.; Callan, J.P.; Croft, W.B.; Ballesteros, L.; Broglio, J.; Xu, J.; Shu, H.: INQUERY at TREC-5 (1997)
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- Date
- 27. 2.1999 20:55:22
- Pages
- S.191-197
- Source
- The Fifth Text Retrieval Conference (TREC-5). Ed.: E.M. Voorhees u. D.K. Harman
- Type
- a
-
Callan, J.; Croft, W.B.; Broglio, J.: TREC and TIPSTER experiments with INQUERY (1995)
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- Footnote
- Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.436-439.
- Source
- Information processing and management. 31(1995) no.3, S.327-343
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- a
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Croft, W.B.: Advances in information retrieval : Recent research from the Center for Intelligent Information Retrieval (2000)
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- Content
- Enthält die Beiträge: CROFT, W.B.: Combining approaches to information retrieval; GREIFF, W.R.: The use of exploratory data analysis in information retrieval research; PONTE, J.M.: Language models for relevance feedback; PAPKA, R. u. J. ALLAN: Topic detection and tracking: event clustering as a basis for first story detection; CALLAN, J.: Distributed information retrieval; XU, J. u. W.B. CROFT: Topic-based language models for ditributed retrieval; LU, Z. u. K.S. McKINLEY: The effect of collection organization and query locality on information retrieval system performance; BALLESTEROS, L.A.: Cross-language retrieval via transitive translation; SANDERSON, M. u. D. LAWRIE: Building, testing, and applying concept hierarchies; RAVELA, S. u. C. LUO: Appearance-based global similarity retrieval of images
- Pages
- XI, 306 S
- Type
- s
-
Allan, J.; Ballesteros, L.; Callan, J.P.; Croft, W.B.; Lu, Z.: Recent experiment with INQUERY (1996)
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- Pages
- S.49-63
- Source
- The Fourth Text Retrieval Conference (TREC-4). Ed.: K. Harman
- Type
- a
-
Liu, X.; Croft, W.B.: Cluster-based retrieval using language models (2004)
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- Pages
- S.186-193
- Source
- SIGIR'04: Proceedings of the 27th Annual International ACM-SIGIR Conference an Research and Development in Information Retrieval. Ed.: K. Järvelin, u.a
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- a
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Allan, J.; Croft, W.B.; Callan, J.: ¬The University of Massachusetts and a dozen TRECs (2005)
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- Pages
- S.261-286
- Source
- TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman
- Type
- a
-
Belkin, N.J.; Croft, W.B.: Retrieval techniques (1987)
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- Source
- Annual review of information science and technology. 22(1987), S.109-145
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- a
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Croft, W.B.; Metzler, D.; Strohman, T.: Search engines : information retrieval in practice (2010)
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- Abstract
- For introductory information retrieval courses at the undergraduate and graduate level in computer science, information science and computer engineering departments. Written by a leader in the field of information retrieval, Search Engines: Information Retrieval in Practice, is designed to give undergraduate students the understanding and tools they need to evaluate, compare and modify search engines. Coverage of the underlying IR and mathematical models reinforce key concepts. The book's numerous programming exercises make extensive use of Galago, a Java-based open source search engine. SUPPLEMENTS / Extensive lecture slides (in PDF and PPT format) / Solutions to selected end of chapter problems (Instructors only) / Test collections for exercises / Galago search engine
- Classification
- TWX (FH K)
- GHBS
- TWX (FH K)
- Pages
- xxv, 524 S
-
Krovetz, R.; Croft, W.B.: Lexical ambiguity and information retrieval (1992)
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- Abstract
- Reports on an analysis of lexical ambiguity in information retrieval text collections and on experiments to determine the utility of word meanings for separating relevant from nonrelevant documents. Results show that there is considerable ambiguity even in a specialised database. Word senses provide a significant separation between relevant and nonrelevant documents, but several factors contribute to determining whether disambiguation will make an improvement in performance such as: resolving lexical ambiguity was found to have little impact on retrieval effectiveness for documents that have many words in common with the query. Discusses other uses of word sense disambiguation in an information retrieval context
- Source
- ACM transactions on information systems. 10(1992) no.2, S.115-141
- Type
- a
-
Tavakoli, L.; Zamani, H.; Scholer, F.; Croft, W.B.; Sanderson, M.: Analyzing clarification in asynchronous information-seeking conversations (2022)
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- Abstract
- This research analyzes human-generated clarification questions to provide insights into how they are used to disambiguate and provide a better understanding of information needs. A set of clarification questions is extracted from posts on the Stack Exchange platform. Novel taxonomy is defined for the annotation of the questions and their responses. We investigate the clarification questions in terms of whether they add any information to the post (the initial question posted by the asker) and the accepted answer, which is the answer chosen by the asker. After identifying, which clarification questions are more useful, we investigated the characteristics of these questions in terms of their types and patterns. Non-useful clarification questions are identified, and their patterns are compared with useful clarifications. Our analysis indicates that the most useful clarification questions have similar patterns, regardless of topic. This research contributes to an understanding of clarification in conversations and can provide insight for clarification dialogues in conversational search scenarios and for the possible system generation of clarification requests in information-seeking conversations.
- Source
- Journal of the Association for Information Science and Technology. 73(2022) no.3, S.449-471
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- a
-
Croft, W.B.; Thompson, R.H.: I3R: a new approach to the desing of document retrieval systems (1987)
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- Source
- Journal of the American Society for Information Science. 38(1987), S.389-404
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- a
-
Croft, W.B.: Approaches to intelligent information retrieval (1987)
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- Source
- Information processing and management. 23(1987), S.249-254
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- a
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Croft, W.B.; Lucia, T.J.; Cringean, J.: Retrieving documents by plausible inference : an experimental study (1989)
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- Source
- Information processing and management. 25(1989) no.6, S.519-614
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- a
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Croft, W.B.; Turtle, H.R.: Retrieval strategies for hypertext (1993)
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- Source
- Information processing and management. 29(1993) no.3, S.313-324
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- a
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Croft, W.B.: Clustering large files of documents using the single link method (1977)
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- Source
- Journal of the American Society for Information Science. 28(1977), S.341-344
- Type
- a
-
Croft, W.B.: Knowledge-based and statistical approaches to text retrieval (1993)
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- Source
- IEEE expert intelligent systems and their applications. 8(1993) no.2, S.8-12
- Type
- a
-
Croft, W.B.; Thompson, R.H.: Support for browsing in an intelligent text retrieval system (1989)
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- Source
- International journal of man-machine studies. 30(1989), S.639-668
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- a
-
Croft, W.B.; Harper, D.J.: Using probabilistic models of document retrieval without relevance information (1979)
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- Abstract
- Based on a probablistic model, proposes strategies for the initial search and an intermediate search. Retrieval experiences with the Cranfield collection of 1,400 documents show that this initial search strategy is better than conventional search strategies both in terms of retrieval effectiveness and in terms of the number of queries that retrieve relevant documents. The intermediate search is a useful substitute for a relevance feedback search. A cluster search would be an effective alternative strategy.
- Source
- Journal of documentation. 35(1979) no.4, S.285-295
- Type
- a
-
Xu, J.; Croft, W.B.: Topic-based language models for distributed retrieval (2000)
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- Abstract
- Effective retrieval in a distributed environment is an important but difficult problem. Lack of effectiveness appears to have two major causes. First, existing collection selection algorithms do not work well on heterogeneous collections. Second, relevant documents are scattered over many collections and searching a few collections misses many relevant documents. We propose a topic-oriented approach to distributed retrieval. With this approach, we structure the document set of a distributed retrieval environment around a set of topics. Retrieval for a query involves first selecting the right topics for the query and then dispatching the search process to collections that contain such topics. The content of a topic is characterized by a language model. In environments where the labeling of documents by topics is unavailable, document clustering is employed for topic identification. Based on these ideas, three methods are proposed to suit different environments. We show that all three methods improve effectiveness of distributed retrieval
- Pages
- S.151-172
- Type
- a
