Search (151 results, page 1 of 8)

  • × theme_ss:"Suchmaschinen"
  1. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.19 
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    Content
    Vgl.: http%3A%2F%2Fdelab.csd.auth.gr%2F~dimitris%2Fcourses%2Fir_spring06%2Fpage_rank_computing%2Fp527-li.pdf. Vgl. auch: http://www2002.org/CDROM/refereed/643/.
  2. Topi, H.; Lucas, W.: Searching the Web : operator assistance required (2005) 0.07 
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    Abstract
    This study examines the effects of the search interface and Boolean logic training on user search performance and satisfaction. We compared the use of an assisted search tool to that of a simple search interface like those typically found at commercial search engine sites. We found that the assisted search tool had a significant positive effect on performance, satisfaction, and confidence. Promoting the use of advanced search features is therefore in the best interest of both Web search providers and users. In the absence of an assisted interface, a simple interface coupled with Boolean logic training was also an effective means for improving user performance. Given that most searchers choose to use the simple search box, it is important to provide them with applicable training to promote the effective use of the search tool. Interestingly, coupling the assisted interface with Boolean training was no more effective than either treatment alone.
  3. Fu, T.; Abbasi, A.; Chen, H.: ¬A focused crawler for Dark Web forums (2010) 0.05 
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    Abstract
    The unprecedented growth of the Internet has given rise to the Dark Web, the problematic facet of the Web associated with cybercrime, hate, and extremism. Despite the need for tools to collect and analyze Dark Web forums, the covert nature of this part of the Internet makes traditional Web crawling techniques insufficient for capturing such content. In this study, we propose a novel crawling system designed to collect Dark Web forum content. The system uses a human-assisted accessibility approach to gain access to Dark Web forums. Several URL ordering features and techniques enable efficient extraction of forum postings. The system also includes an incremental crawler coupled with a recall-improvement mechanism intended to facilitate enhanced retrieval and updating of collected content. Experiments conducted to evaluate the effectiveness of the human-assisted accessibility approach and the recall-improvement-based, incremental-update procedure yielded favorable results. The human-assisted approach significantly improved access to Dark Web forums while the incremental crawler with recall improvement also outperformed standard periodic- and incremental-update approaches. Using the system, we were able to collect over 100 Dark Web forums from three regions. A case study encompassing link and content analysis of collected forums was used to illustrate the value and importance of gathering and analyzing content from such online communities.
  4. Lucas, W.T.; Topi, H.: Training for Web search : will it get you in shape? (2004) 0.05 
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    Abstract
    Given that time is money, Web searching can be a very expensive proposition. Even with the best search technology, the usefulness of search results depends on the searcher's ability to use that technology effectively. In an effort to improve this ability, our research investigates the effects of logic training, interface training, and the type of search interface on the search process. In a study with 145 participants, we found that even limited training in basic Boolean logic improved performance with a simple search interface. Surprisingly, for users of an interface that assisted them in forming syntactically correct Boolean queries, performance was negatively affected by logic training and unaffected by interface training. Use of the assisted interface itself, however, resulted in strong improvements in performance over use of the simple interface. In addition to being useful for search engine providers, these findings are important for all companies that rely heavily on search for critical aspects of their operations, in that they demonstrate simple means by which the search experience can be improved for their employees and customers.
  5. Web search service features (2002) 0.02 
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    Abstract
    The table shows some of the features and techniques for the most common general Web search services to show how to use them and to help decide which may be the most appropriate. See the notes below that explain the headings. Each service also provides more detailed instructions. Note that some features will be available under an 'advanced', 'power' or other further search option and not from the main page.
  6. Nahl, D.: Ethnography of novices' first use of Web search engines : affective control in cognitive processing (1998) 0.02 
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    Abstract
    Reports results of a study, conducted at Hawaii University, Department of Information and Computer Science, to understand the novide searchers' experience in learning to use a WWW search engine. Without prior searching instruction, undergraduate novives wrote structured self reports during their first session on a Web search engine. Users choose their own topics and followed written instructions that prompted them to describe thoughts and feelings during specified stages of the search; pre search formulation; search statement formulation; search strategy; and evaluation of the results. The sentences in the self reports were numbered and then coded according to their affective or cognitive function. The affective sentences reveal how users set goals and limit the scope of the cognitive operations. Search acts appear to be governed by an affective filter that organizes incoming information and provides criteria for ranking cognitive relevance to search goal. Content analysis identifies reasons users have for rating self confidence, stress level, satisfaction, usefulness, and success with future searches
  7. Lewandowski, D.; Drechsler, J.; Mach, S. von: Deriving query intents from web search engine queries (2012) 0.02 
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    Abstract
    The purpose of this article is to test the reliability of query intents derived from queries, either by the user who entered the query or by another juror. We report the findings of three studies. First, we conducted a large-scale classification study (~50,000 queries) using a crowdsourcing approach. Next, we used clickthrough data from a search engine log and validated the judgments given by the jurors from the crowdsourcing study. Finally, we conducted an online survey on a commercial search engine's portal. Because we used the same queries for all three studies, we also were able to compare the results and the effectiveness of the different approaches. We found that neither the crowdsourcing approach, using jurors who classified queries originating from other users, nor the questionnaire approach, using searchers who were asked about their own query that they just entered into a Web search engine, led to satisfying results. This leads us to conclude that there was little understanding of the classification tasks, even though both groups of jurors were given detailed instructions. Although we used manual classification, our research also has important implications for automatic classification. We must question the success of approaches using automatic classification and comparing its performance to a baseline from human jurors.
  8. Großjohann, K.: Gathering-, Harvesting-, Suchmaschinen (1996) 0.01 
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    Date
    7. 2.1996 22:38:41
    Pages
    22 S
  9. Höfer, W.: Detektive im Web (1999) 0.01 
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    Date
    22. 8.1999 20:22:06
  10. Rensman, J.: Blick ins Getriebe (1999) 0.01 
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    Date
    22. 8.1999 21:22:59
  11. Stock, M.; Stock, W.G.: Recherchieren im Internet (2004) 0.01 
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    Date
    27.11.2005 18:04:22
  12. MacLeod, R.: Promoting a subject gateway : a case study from EEVL (Edinburgh Engineering Virtual Library) (2000) 0.01 
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    Date
    22. 6.2002 19:40:22
  13. Vidmar, D.J.: Darwin on the Web : the evolution of search tools (1999) 0.01 
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    Source
    Computers in libraries. 19(1999) no.5, S.22-28
  14. Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000) 0.01 
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    Date
    25. 8.2005 17:42:22
  15. ap: Suchmaschinen in neuem Gewand : Metaspinner kennt 600 Millionen Seiten (1999) 0.01 
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    Date
    3. 5.1997 8:44:22
  16. Dunning, A.: Do we still need search engines? (1999) 0.01 
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    Source
    Ariadne. 1999, no.22
  17. Bawden, D.: Google and the universe of knowledge (2008) 0.01 
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    Date
    7. 6.2008 16:22:20
  18. Auf der Suche nach Suchmaschinen (1996) 0.01 
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    Source
    Cogito. 12(1996) H.5, S.19-22
  19. Birmingham, J.: Internet search engines (1996) 0.01 
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    Date
    10.11.1996 16:36:22
  20. Bager, J.: Weniger ist mehr : Internet-Suchmaschinen richtig einsetzen (1998) 0.01 
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    Date
    29.12.1998 11:22:00

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