Search (15 results, page 1 of 1)

  • × theme_ss:"Suchtaktik"
  • × year_i:[2010 TO 2020}
  1. Ren, P.; Chen, Z.; Ma, J.; Zhang, Z.; Si, L.; Wang, S.: Detecting temporal patterns of user queries (2017) 0.01 
    0.009990192 = product of:
  0.06993134 = sum of:
    0.03496567 = weight(_text_:classification in 3315) [ClassicSimilarity], result of:
      0.03496567 = score(doc=3315,freq=6.0), product of:
        0.09562149 = queryWeight, product of:
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.03002521 = queryNorm
        0.3656675 = fieldWeight in 3315, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.046875 = fieldNorm(doc=3315)
    0.03496567 = weight(_text_:classification in 3315) [ClassicSimilarity], result of:
      0.03496567 = score(doc=3315,freq=6.0), product of:
        0.09562149 = queryWeight, product of:
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.03002521 = queryNorm
        0.3656675 = fieldWeight in 3315, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.046875 = fieldNorm(doc=3315)
  0.14285715 = coord(2/14)
    Abstract
    Query classification is an important part of exploring the characteristics of web queries. Existing studies are mainly based on Broder's classification scheme and classify user queries into navigational, informational, and transactional categories according to users' information needs. In this article, we present a novel classification scheme from the perspective of queries' temporal patterns. Queries' temporal patterns are inherent time series patterns of the search volumes of queries that reflect the evolution of the popularity of a query over time. By analyzing the temporal patterns of queries, search engines can more deeply understand the users' search intents and thus improve performance. Furthermore, we extract three groups of features based on the queries' search volume time series and use a support vector machine (SVM) to automatically detect the temporal patterns of user queries. Extensive experiments on the Million Query Track data sets of the Text REtrieval Conference (TREC) demonstrate the effectiveness of our approach.
  2. Wu, I.-C.; Vakkari, P.: Effects of subject-oriented visualization tools on search by novices and intermediates (2018) 0.01 
    0.008230644 = product of:
  0.057614505 = sum of:
    0.0474445 = weight(_text_:subject in 4573) [ClassicSimilarity], result of:
      0.0474445 = score(doc=4573,freq=10.0), product of:
        0.10738805 = queryWeight, product of:
          3.576596 = idf(docFreq=3361, maxDocs=44218)
          0.03002521 = queryNorm
        0.4418043 = fieldWeight in 4573, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.576596 = idf(docFreq=3361, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4573)
    0.010170003 = product of:
      0.020340007 = sum of:
        0.020340007 = weight(_text_:22 in 4573) [ClassicSimilarity], result of:
          0.020340007 = score(doc=4573,freq=2.0), product of:
            0.10514317 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03002521 = queryNorm
            0.19345059 = fieldWeight in 4573, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4573)
      0.5 = coord(1/2)
  0.14285715 = coord(2/14)
    Abstract
    This study explores how user subject knowledge influences search task processes and outcomes, as well as how search behavior is influenced by subject-oriented information visualization (IV) tools. To enable integrated searches, the proposed WikiMap + integrates search functions and IV tools (i.e., a topic network and hierarchical topic tree) and gathers information from Wikipedia pages and Google Search results. To evaluate the effectiveness of the proposed interfaces, we design subject-oriented tasks and adopt extended evaluation measures. We recruited 48 novices and 48 knowledgeable users, that is, intermediates, for the evaluation. Our results show that novices using the proposed interface demonstrate better search performance than intermediates using Wikipedia. We therefore conclude that our tools help close the gap between novices and intermediates in information searches. The results also show that intermediates can take advantage of the search tool by leveraging the IV tools to browse subtopics, and formulate better queries with less effort. We conclude that embedding the IV and the search tools in the interface can result in different search behavior but improved task performance. We provide implications to design search systems to include IV features adapted to user levels of subject knowledge to help them achieve better task performance.
    Date
    9.12.2018 16:22:25
  3. Verberne, S.; Heijden, M. van der; Hinne, M.; Sappelli, M.; Koldijk, S.; Hoenkamp, E.; Kraaij, W.: Reliability and validity of query intent assessments (2013) 0.01 
    0.0067974646 = product of:
  0.04758225 = sum of:
    0.023791125 = weight(_text_:classification in 1104) [ClassicSimilarity], result of:
      0.023791125 = score(doc=1104,freq=4.0), product of:
        0.09562149 = queryWeight, product of:
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.03002521 = queryNorm
        0.24880521 = fieldWeight in 1104, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1104)
    0.023791125 = weight(_text_:classification in 1104) [ClassicSimilarity], result of:
      0.023791125 = score(doc=1104,freq=4.0), product of:
        0.09562149 = queryWeight, product of:
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.03002521 = queryNorm
        0.24880521 = fieldWeight in 1104, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1104)
  0.14285715 = coord(2/14)
    Abstract
    In most intent recognition studies, annotations of query intent are created post hoc by external assessors who are not the searchers themselves. It is important for the field to get a better understanding of the quality of this process as an approximation for determining the searcher's actual intent. Some studies have investigated the reliability of the query intent annotation process by measuring the interassessor agreement. However, these studies did not measure the validity of the judgments, that is, to what extent the annotations match the searcher's actual intent. In this study, we asked both the searchers themselves and external assessors to classify queries using the same intent classification scheme. We show that of the seven dimensions in our intent classification scheme, four can reliably be used for query annotation. Of these four, only the annotations on the topic and spatial sensitivity dimension are valid when compared with the searcher's annotations. The difference between the interassessor agreement and the assessor-searcher agreement was significant on all dimensions, showing that the agreement between external assessors is not a good estimator of the validity of the intent classifications. Therefore, we encourage the research community to consider using query intent classifications by the searchers themselves as test data.
  4. Liu, Z.; Jansen, B.J.: ASK: A taxonomy of accuracy, social, and knowledge information seeking posts in social question and answering (2017) 0.00 
    0.004806533 = product of:
  0.03364573 = sum of:
    0.016822865 = weight(_text_:classification in 3345) [ClassicSimilarity], result of:
      0.016822865 = score(doc=3345,freq=2.0), product of:
        0.09562149 = queryWeight, product of:
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.03002521 = queryNorm
        0.17593184 = fieldWeight in 3345, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3345)
    0.016822865 = weight(_text_:classification in 3345) [ClassicSimilarity], result of:
      0.016822865 = score(doc=3345,freq=2.0), product of:
        0.09562149 = queryWeight, product of:
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.03002521 = queryNorm
        0.17593184 = fieldWeight in 3345, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3345)
  0.14285715 = coord(2/14)
    Abstract
    Many people turn to their social networks to find information through the practice of question and answering. We believe it is necessary to use different answering strategies based on the type of questions to accommodate the different information needs. In this research, we propose the ASK taxonomy that categorizes questions posted on social networking sites into three types according to the nature of the questioner's inquiry of accuracy, social, or knowledge. To automatically decide which answering strategy to use, we develop a predictive model based on ASK question types using question features from the perspectives of lexical, topical, contextual, and syntactic as well as answer features. By applying the classifier on an annotated data set, we present a comprehensive analysis to compare questions in terms of their word usage, topical interests, temporal and spatial restrictions, syntactic structure, and response characteristics. Our research results show that the three types of questions exhibited different characteristics in the way they are asked. Our automatic classification algorithm achieves an 83% correct labeling result, showing the value of the ASK taxonomy for the design of social question and answering systems.
  5. Grau, B.: Finding answers to questions, in text collections or Web, in open domain or specialty domains (2012) 0.00 
    0.0025179111 = product of:
  0.035250753 = sum of:
    0.035250753 = product of:
      0.07050151 = sum of:
        0.07050151 = weight(_text_:texts in 107) [ClassicSimilarity], result of:
          0.07050151 = score(doc=107,freq=4.0), product of:
            0.16460659 = queryWeight, product of:
              5.4822793 = idf(docFreq=499, maxDocs=44218)
              0.03002521 = queryNorm
            0.42830306 = fieldWeight in 107, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              5.4822793 = idf(docFreq=499, maxDocs=44218)
              0.0390625 = fieldNorm(doc=107)
      0.5 = coord(1/2)
  0.071428575 = coord(1/14)
    Abstract
    This chapter is dedicated to factual question answering, i.e., extracting precise and exact answers to question given in natural language from texts. A question in natural language gives more information than a bag of word query (i.e., a query made of a list of words), and provides clues for finding precise answers. The author first focuses on the presentation of the underlying problems mainly due to the existence of linguistic variations between questions and their answerable pieces of texts for selecting relevant passages and extracting reliable answers. The author first presents how to answer factual question in open domain. The author also presents answering questions in specialty domain as it requires dealing with semi-structured knowledge and specialized terminologies, and can lead to different applications, as information management in corporations for example. Searching answers on the Web constitutes another application frame and introduces specificities linked to Web redundancy or collaborative usage. Besides, the Web is also multilingual, and a challenging problem consists in searching answers in target language documents other than the source language of the question. For all these topics, this chapter presents main approaches and the remaining problems.
  6. Looking for information : a survey on research on information seeking, needs, and behavior (2016) 0.00 
    0.001780432 = product of:
  0.024926046 = sum of:
    0.024926046 = product of:
      0.04985209 = sum of:
        0.04985209 = weight(_text_:texts in 3803) [ClassicSimilarity], result of:
          0.04985209 = score(doc=3803,freq=2.0), product of:
            0.16460659 = queryWeight, product of:
              5.4822793 = idf(docFreq=499, maxDocs=44218)
              0.03002521 = queryNorm
            0.302856 = fieldWeight in 3803, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.4822793 = idf(docFreq=499, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3803)
      0.5 = coord(1/2)
  0.071428575 = coord(1/14)
    Abstract
    The 4th edition of this popular and well-cited text is now co-authored, and includes significant changes from earlier texts. Presenting a comprehensive review of over a century of research on information behavior (IB), this book is intended for students in information studies and disciplines interested in research on information activities. The initial two chapters introduce IB as a multi-disciplinary topic, the 3rd provides a brief history of research on information seeking. Chapter four discusses what is meant by the terms "information" and "knowledge. "Chapter five discusses "information needs," and how they are addressed. The 6th chapter identifies many related concepts. Twelve models of information behavior (expanded from earlier editions) are illustrated in chapter seven. Chapter eight reviews various paradigms and theories informing IB research. Chapter nine examines research methods invoked in IB studies and a discussion of qualitative and mixed approaches. The 10th chapter gives examples of IB studies by context. The final chapter looks at strengths and weaknesses, recent trends, and future development.
  7. Vakkari, P.; Huuskonen, S.: Search effort degrades search output but improves task outcome (2012) 0.00 
    0.0015155592 = product of:
  0.021217827 = sum of:
    0.021217827 = weight(_text_:subject in 46) [ClassicSimilarity], result of:
      0.021217827 = score(doc=46,freq=2.0), product of:
        0.10738805 = queryWeight, product of:
          3.576596 = idf(docFreq=3361, maxDocs=44218)
          0.03002521 = queryNorm
        0.19758089 = fieldWeight in 46, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.576596 = idf(docFreq=3361, maxDocs=44218)
          0.0390625 = fieldNorm(doc=46)
  0.071428575 = coord(1/14)
    Abstract
    We analyzed how effort in searching is associated with search output and task outcome. In a field study, we examined how students' search effort for an assigned learning task was associated with precision and relative recall, and how this was associated to the quality of learning outcome. The study subjects were 41 medical students writing essays for a class in medicine. Searching in Medline was part of their assignment. The data comprised students' search logs in Medline, their assessment of the usefulness of references retrieved, a questionnaire concerning the search process, and evaluation scores of the essays given by the teachers. Pearson correlation was calculated for answering the research questions. Finally, a path model for predicting task outcome was built. We found that effort in the search process degraded precision but improved task outcome. There were two major mechanisms reducing precision while enhancing task outcome. Effort in expanding Medical Subject Heading (MeSH) terms within search sessions and effort in assessing and exploring documents in the result list between the sessions degraded precision, but led to better task outcome. Thus, human effort compensated bad retrieval results on the way to good task outcome. Findings suggest that traditional effectiveness measures in information retrieval should be complemented with evaluation measures for search process and outcome.
  8. Saastamoinen, M.; Järvelin, K.: Search task features in work tasks of varying types and complexity (2017) 0.00 
    8.7171455E-4 = product of:
  0.0122040035 = sum of:
    0.0122040035 = product of:
      0.024408007 = sum of:
        0.024408007 = weight(_text_:22 in 3589) [ClassicSimilarity], result of:
          0.024408007 = score(doc=3589,freq=2.0), product of:
            0.10514317 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03002521 = queryNorm
            0.23214069 = fieldWeight in 3589, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=3589)
      0.5 = coord(1/2)
  0.071428575 = coord(1/14)
    Abstract
    Information searching in practice seldom is an end in itself. In work, work task (WT) performance forms the context, which information searching should serve. Therefore, information retrieval (IR) systems development/evaluation should take the WT context into account. The present paper analyzes how WT features: task complexity and task types, affect information searching in authentic work: the types of information needs, search processes, and search media. We collected data on 22 information professionals in authentic work situations in three organization types: city administration, universities, and companies. The data comprise 286 WTs and 420 search tasks (STs). The data include transaction logs, video recordings, daily questionnaires, interviews. and observation. The data were analyzed quantitatively. Even if the participants used a range of search media, most STs were simple throughout the data, and up to 42% of WTs did not include searching. WT's effects on STs are not straightforward: different WT types react differently to WT complexity. Due to the simplicity of authentic searching, the WT/ST types in interactive IR experiments should be reconsidered.
  9. Aloteibi, S.; Sanderson, M.: Analyzing geographic query reformulation : an exploratory study (2014) 0.00 
    7.264289E-4 = product of:
  0.010170003 = sum of:
    0.010170003 = product of:
      0.020340007 = sum of:
        0.020340007 = weight(_text_:22 in 1177) [ClassicSimilarity], result of:
          0.020340007 = score(doc=1177,freq=2.0), product of:
            0.10514317 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03002521 = queryNorm
            0.19345059 = fieldWeight in 1177, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1177)
      0.5 = coord(1/2)
  0.071428575 = coord(1/14)
    Date
    26. 1.2014 18:48:22
  10. Monchaux, S.; Amadieu, F.; Chevalier, A.; Mariné, C.: Query strategies during information searching : effects of prior domain knowledge and complexity of the information problems to be solved (2015) 0.00 
    7.264289E-4 = product of:
  0.010170003 = sum of:
    0.010170003 = product of:
      0.020340007 = sum of:
        0.020340007 = weight(_text_:22 in 2680) [ClassicSimilarity], result of:
          0.020340007 = score(doc=2680,freq=2.0), product of:
            0.10514317 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03002521 = queryNorm
            0.19345059 = fieldWeight in 2680, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2680)
      0.5 = coord(1/2)
  0.071428575 = coord(1/14)
    Date
    25. 1.2016 18:46:22
  11. Pontis, S.; Blandford, A.; Greifeneder, E.; Attalla, H.; Neal, D.: Keeping up to date : an academic researcher's information journey (2017) 0.00 
    7.264289E-4 = product of:
  0.010170003 = sum of:
    0.010170003 = product of:
      0.020340007 = sum of:
        0.020340007 = weight(_text_:22 in 3340) [ClassicSimilarity], result of:
          0.020340007 = score(doc=3340,freq=2.0), product of:
            0.10514317 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03002521 = queryNorm
            0.19345059 = fieldWeight in 3340, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3340)
      0.5 = coord(1/2)
  0.071428575 = coord(1/14)
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.1, S.22-35
  12. Sachse, J.: ¬The influence of snippet length on user behavior in mobile web search (2019) 0.00 
    7.264289E-4 = product of:
  0.010170003 = sum of:
    0.010170003 = product of:
      0.020340007 = sum of:
        0.020340007 = weight(_text_:22 in 5493) [ClassicSimilarity], result of:
          0.020340007 = score(doc=5493,freq=2.0), product of:
            0.10514317 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03002521 = queryNorm
            0.19345059 = fieldWeight in 5493, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5493)
      0.5 = coord(1/2)
  0.071428575 = coord(1/14)
    Date
    20. 1.2015 18:30:22
  13. Hopkins, M.E.; Zavalina, O.L.: Evaluating physicians' serendipitous knowledge discovery in online discovery systems : a new approach (2019) 0.00 
    7.264289E-4 = product of:
  0.010170003 = sum of:
    0.010170003 = product of:
      0.020340007 = sum of:
        0.020340007 = weight(_text_:22 in 5842) [ClassicSimilarity], result of:
          0.020340007 = score(doc=5842,freq=2.0), product of:
            0.10514317 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03002521 = queryNorm
            0.19345059 = fieldWeight in 5842, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5842)
      0.5 = coord(1/2)
  0.071428575 = coord(1/14)
    Date
    20. 1.2015 18:30:22
  14. Renugadevi, S.; Geetha, T.V.; Gayathiri, R.L.; Prathyusha, S.; Kaviya, T.: Collaborative search using an implicitly formed academic network (2014) 0.00 
    5.811431E-4 = product of:
  0.008136002 = sum of:
    0.008136002 = product of:
      0.016272005 = sum of:
        0.016272005 = weight(_text_:22 in 1628) [ClassicSimilarity], result of:
          0.016272005 = score(doc=1628,freq=2.0), product of:
            0.10514317 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03002521 = queryNorm
            0.15476047 = fieldWeight in 1628, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03125 = fieldNorm(doc=1628)
      0.5 = coord(1/2)
  0.071428575 = coord(1/14)
    Date
    20. 1.2015 18:30:22
  15. Waschatz, B.: Schmökern ist schwierig : Viele Uni-Bibliotheken ordnen ihre Bücher nicht - Tipps für eine erfolgreiche Suche (2010) 0.00 
    4.3585728E-4 = product of:
  0.0061020018 = sum of:
    0.0061020018 = product of:
      0.0122040035 = sum of:
        0.0122040035 = weight(_text_:22 in 3206) [ClassicSimilarity], result of:
          0.0122040035 = score(doc=3206,freq=2.0), product of:
            0.10514317 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03002521 = queryNorm
            0.116070345 = fieldWeight in 3206, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0234375 = fieldNorm(doc=3206)
      0.5 = coord(1/2)
  0.071428575 = coord(1/14)
    Date
    3. 5.1997 8:44:22

Authors

Languages

  • e 14
  • d 1

Types

Themes

Subjects

Classifications