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  • × theme_ss:"Retrievalstudien"
  1. Chu, H.: Factors affecting relevance judgment : a report from TREC Legal track (2011) 0.05
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    Abstract
    Purpose - This study intends to identify factors that affect relevance judgment of retrieved information as part of the 2007 TREC Legal track interactive task. Design/methodology/approach - Data were gathered and analyzed from the participants of the 2007 TREC Legal track interactive task using a questionnaire which includes not only a list of 80 relevance factors identified in prior research, but also a space for expressing their thoughts on relevance judgment in the process. Findings - This study finds that topicality remains a primary criterion, out of various options, for determining relevance, while specificity of the search request, task, or retrieved results also helps greatly in relevance judgment. Research limitations/implications - Relevance research should focus on the topicality and specificity of what is being evaluated as well as conducted in real environments. Practical implications - If multiple relevance factors are presented to assessors, the total number in a list should be below ten to take account of the limited processing capacity of human beings' short-term memory. Otherwise, the assessors might either completely ignore or inadequately consider some of the relevance factors when making judgment decisions. Originality/value - This study presents a method for reducing the artificiality of relevance research design, an apparent limitation in many related studies. Specifically, relevance judgment was made in this research as part of the 2007 TREC Legal track interactive task rather than a study devised for the sake of it. The assessors also served as searchers so that their searching experience would facilitate their subsequent relevance judgments.
    Date
    12. 7.2011 18:29:22
  2. Pal, S.; Mitra, M.; Kamps, J.: Evaluation effort, reliability and reusability in XML retrieval (2011) 0.02
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    Abstract
    The Initiative for the Evaluation of XML retrieval (INEX) provides a TREC-like platform for evaluating content-oriented XML retrieval systems. Since 2007, INEX has been using a set of precision-recall based metrics for its ad hoc tasks. The authors investigate the reliability and robustness of these focused retrieval measures, and of the INEX pooling method. They explore four specific questions: How reliable are the metrics when assessments are incomplete, or when query sets are small? What is the minimum pool/query-set size that can be used to reliably evaluate systems? Can the INEX collections be used to fairly evaluate "new" systems that did not participate in the pooling process? And, for a fixed amount of assessment effort, would this effort be better spent in thoroughly judging a few queries, or in judging many queries relatively superficially? The authors' findings validate properties of precision-recall-based metrics observed in document retrieval settings. Early precision measures are found to be more error-prone and less stable under incomplete judgments and small topic-set sizes. They also find that system rankings remain largely unaffected even when assessment effort is substantially (but systematically) reduced, and confirm that the INEX collections remain usable when evaluating nonparticipating systems. Finally, they observe that for a fixed amount of effort, judging shallow pools for many queries is better than judging deep pools for a smaller set of queries. However, when judging only a random sample of a pool, it is better to completely judge fewer topics than to partially judge many topics. This result confirms the effectiveness of pooling methods.
    Date
    22. 1.2011 14:20:56
  3. Rijsbergen, C.J. van: ¬A test for the separation of relevant and non-relevant documents in experimental retrieval collections (1973) 0.02
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    Date
    19. 3.1996 11:22:12
    Source
    Journal of documentation. 29(1973) no.3, S.251-257
  4. Hierl, S.: Bezugsrahmen für die Evaluation von Information Retrieval Systemen mit Visualisierungskomponenten (2007) 0.02
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    Source
    B.I.T.online. 10(2007) H.2, S.xxx-xxx
    Year
    2007
  5. Beall, J.; Kafadar, K.: Measuring typographical errors' impact on retrieval in bibliographic databases (2007) 0.01
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    Source
    Cataloging and classification quarterly. 44(2007) nos.3/4, S.197-211
    Year
    2007
  6. MacFarlane, A.: Evaluation of web search for the information practitioner (2007) 0.01
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    Source
    Aslib proceedings. 59(2007) no.4/5, S.352-366
    Year
    2007
  7. Ruthven, I.; Baillie, M.; Elsweiler, D.: ¬The relative effects of knowledge, interest and confidence in assessing relevance (2007) 0.01
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    Source
    Journal of documentation. 63(2007) no.4, S.482-504
    Year
    2007
  8. Hemminger, B.M.; Saelim, B.; Sullivan, P.F.; Vision, T.J.: Comparison of full-text searching to metadata searching for genes in two biomedical literature cohorts (2007) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.14, S.2341-2352
    Year
    2007
  9. TREC: experiment and evaluation in information retrieval (2005) 0.01
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    Date
    29. 3.1996 18:16:49
    Footnote
    Rez. in: JASIST 58(2007) no.6, S.910-911 (J.L. Vicedo u. J. Gomez): "The Text REtrieval Conference (TREC) is a yearly workshop hosted by the U.S. government's National Institute of Standards and Technology (NIST) that fosters and supports research in information retrieval as well as speeding the transfer of technology between research labs and industry. Since 1992, TREC has provided the infrastructure necessary for large-scale evaluations of different text retrieval methodologies. TREC impact has been very important and its success has been mainly supported by its continuous adaptation to the emerging information retrieval needs. Not in vain, TREC has built evaluation benchmarks for more than 20 different retrieval problems such as Web retrieval, speech retrieval, or question-answering. The large and intense trajectory of annual TREC conferences has resulted in an immense bulk of documents reflecting the different eval uation and research efforts developed. This situation makes it difficult sometimes to observe clearly how research in information retrieval (IR) has evolved over the course of TREC. TREC: Experiment and Evaluation in Information Retrieval succeeds in organizing and condensing all this research into a manageable volume that describes TREC history and summarizes the main lessons learned. The book is organized into three parts. The first part is devoted to the description of TREC's origin and history, the test collections, and the evaluation methodology developed. The second part describes a selection of the major evaluation exercises (tracks), and the third part contains contributions from research groups that had a large and remarkable participation in TREC. Finally, Karen Spark Jones, one of the main promoters of research in IR, closes the book with an epilogue that analyzes the impact of TREC on this research field.
  10. Vechtomova, O.: Facet-based opinion retrieval from blogs (2010) 0.01
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    Abstract
    The paper presents methods of retrieving blog posts containing opinions about an entity expressed in the query. The methods use a lexicon of subjective words and phrases compiled from manually and automatically developed resources. One of the methods uses the Kullback-Leibler divergence to weight subjective words occurring near query terms in documents, another uses proximity between the occurrences of query terms and subjective words in documents, and the third combines both factors. Methods of structuring queries into facets, facet expansion using Wikipedia, and a facet-based retrieval are also investigated in this work. The methods were evaluated using the TREC 2007 and 2008 Blog track topics, and proved to be highly effective.
  11. Hofstede, M.: Literatuur over onderwerpen zoeken in de OPC (1994) 0.01
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    Source
    CRI bulletin. 29(1994), Sept., S.14-15
  12. Mansourian, Y.; Ford, N.: Web searchers' attributions of success and failure: an empirical study (2007) 0.01
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    Source
    Journal of documentation. 63(2007) no.5, S.659-679
    Year
    2007
  13. Mansourian, Y.; Ford, N.: Search persistence and failure on the web : a "bounded rationality" and "satisficing" analysis (2007) 0.01
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    Source
    Journal of documentation. 63(2007) no.5, S.680-701
    Year
    2007
  14. Hancock-Beaulieu, M.; McKenzie, L.; Irving, A.: Evaluative protocols for searching behaviour in online library catalogues (1991) 0.01
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    Date
    23. 1.1999 19:52:29
  15. Harman, D.K.: ¬The TREC test collections (2005) 0.01
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    Date
    29. 3.1996 18:16:49
  16. Buckley, C.; Voorhees, E.M.: Retrieval system evaluation (2005) 0.01
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    Date
    29. 3.1996 18:16:49
  17. Voiskunskii, V.G.: Evaluation of search results (2000) 0.01
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    Source
    Encyclopedia of library and information science. Vol.66, [=Suppl.29]
  18. Harman, D.K.: ¬The TREC ad hoc experiments (2005) 0.01
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    Date
    29. 3.1996 18:16:49
  19. Robertson, S.; Callan, J.: Routing and filtering (2005) 0.01
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    Date
    29. 3.1996 18:16:49
  20. Beaulieu, M.: Approaches to user-based studies in information seeking and retrieval : a Sheffield perspective (2003) 0.01
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    Source
    Journal of information science. 29(2003) no.4, S.239-248

Years

Languages

  • e 78
  • d 7
  • f 1
  • fi 1
  • nl 1
  • More… Less…

Types

  • a 81
  • s 5
  • m 3
  • r 2
  • el 1
  • More… Less…