Search (46 results, page 1 of 3)

  • × theme_ss:"Retrievalstudien"
  1. Chu, H.: Factors affecting relevance judgment : a report from TREC Legal track (2011) 0.06
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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) 0.04
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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. Hierl, S.: Bezugsrahmen für die Evaluation von Information Retrieval Systemen mit Visualisierungskomponenten (2007) 0.03
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    Source
    B.I.T.online. 10(2007) H.2, S.xxx-xxx
    Year
    2007
  4. Beall, J.; Kafadar, K.: Measuring typographical errors' impact on retrieval in bibliographic databases (2007) 0.02
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    Source
    Cataloging and classification quarterly. 44(2007) nos.3/4, S.197-211
    Year
    2007
  5. MacFarlane, A.: Evaluation of web search for the information practitioner (2007) 0.02
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    Source
    Aslib proceedings. 59(2007) no.4/5, S.352-366
    Year
    2007
  6. Fuhr, N.; Niewelt, B.: ¬Ein Retrievaltest mit automatisch indexierten Dokumenten (1984) 0.02
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    Date
    20.10.2000 12:22:23
  7. Tomaiuolo, N.G.; Parker, J.: Maximizing relevant retrieval : keyword and natural language searching (1998) 0.02
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    Source
    Online. 22(1998) no.6, S.57-58
  8. Voorhees, E.M.; Harman, D.: Overview of the Sixth Text REtrieval Conference (TREC-6) (2000) 0.02
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    Date
    11. 8.2001 16:22:19
  9. Dalrymple, P.W.: Retrieval by reformulation in two library catalogs : toward a cognitive model of searching behavior (1990) 0.02
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    Date
    22. 7.2006 18:43:54
  10. Ruthven, I.; Baillie, M.; Elsweiler, D.: ¬The relative effects of knowledge, interest and confidence in assessing relevance (2007) 0.02
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    Source
    Journal of documentation. 63(2007) no.4, S.482-504
    Year
    2007
  11. 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) 0.02
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.14, S.2341-2352
    Year
    2007
  12. Vechtomova, O.: Facet-based opinion retrieval from blogs (2010) 0.02
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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.
  13. Mansourian, Y.; Ford, N.: Web searchers' attributions of success and failure: an empirical study (2007) 0.02
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    Source
    Journal of documentation. 63(2007) no.5, S.659-679
    Year
    2007
  14. Mansourian, Y.; Ford, N.: Search persistence and failure on the web : a "bounded rationality" and "satisficing" analysis (2007) 0.02
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    Source
    Journal of documentation. 63(2007) no.5, S.680-701
    Year
    2007
  15. Allan, J.; Callan, J.P.; Croft, W.B.; Ballesteros, L.; Broglio, J.; Xu, J.; Shu, H.: INQUERY at TREC-5 (1997) 0.02
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    Date
    27. 2.1999 20:55:22
  16. Ng, K.B.; Loewenstern, D.; Basu, C.; Hirsh, H.; Kantor, P.B.: Data fusion of machine-learning methods for the TREC5 routing tak (and other work) (1997) 0.02
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    Date
    27. 2.1999 20:59:22
  17. Saracevic, T.: On a method for studying the structure and nature of requests in information retrieval (1983) 0.02
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    Pages
    S.22-25
  18. Rijsbergen, C.J. van: ¬A test for the separation of relevant and non-relevant documents in experimental retrieval collections (1973) 0.01
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    Date
    19. 3.1996 11:22:12
  19. Sanderson, M.: ¬The Reuters test collection (1996) 0.01
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    Source
    Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon
  20. Lespinasse, K.: TREC: une conference pour l'evaluation des systemes de recherche d'information (1997) 0.01
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    Date
    1. 8.1996 22:01:00

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