Search (5 results, page 1 of 1)

Belkin, N.J.; Croft, W.B.: Retrieval techniques (1987) 0.02

0.023603603 = product of:
  0.118018016 = sum of:
    0.118018016 = weight(_text_:22 in 334) [ClassicSimilarity], result of:
      0.118018016 = score(doc=334,freq=2.0), product of:
        0.19064626 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.0544419 = queryNorm
        0.61904186 = fieldWeight in 334, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.125 = fieldNorm(doc=334)
  0.2 = coord(1/5)

Source: Annual review of information science and technology. 22(1987), S.109-145

Murdock, V.; Kelly, D.; Croft, W.B.; Belkin, N.J.; Yuan, X.: Identifying and improving retrieval for procedural questions (2007) 0.01
```
0.013225444 = product of:
  0.06612722 = sum of:
    0.06612722 = weight(_text_:needs in 902) [ClassicSimilarity], result of:
      0.06612722 = score(doc=902,freq=2.0), product of:
        0.233039 = queryWeight, product of:
          4.2805085 = idf(docFreq=1662, maxDocs=44218)
          0.0544419 = queryNorm
        0.2837603 = fieldWeight in 902, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.2805085 = idf(docFreq=1662, maxDocs=44218)
          0.046875 = fieldNorm(doc=902)
  0.2 = coord(1/5)
```
Abstract

People use questions to elicit information from other people in their everyday lives and yet the most common method of obtaining information from a search engine is by posing keywords. There has been research that suggests users are better at expressing their information needs in natural language, however the vast majority of work to improve document retrieval has focused on queries posed as sets of keywords or Boolean queries. This paper focuses on improving document retrieval for the subset of natural language questions asking about how something is done. We classify questions as asking either for a description of a process or asking for a statement of fact, with better than 90% accuracy. Further we identify non-content features of documents relevant to questions asking about a process. Finally we demonstrate that we can use these features to significantly improve the precision of document retrieval results for questions asking about a process. Our approach, based on exploiting the structure of documents, shows a significant improvement in precision at rank one for questions asking about how something is done.
Liu, J.; Belkin, N.J.: Personalizing information retrieval for multi-session tasks : examining the roles of task stage, task type, and topic knowledge on the interpretation of dwell time as an indicator of document usefulness (2015) 0.01
```
0.011021203 = product of:
  0.055106014 = sum of:
    0.055106014 = weight(_text_:needs in 1608) [ClassicSimilarity], result of:
      0.055106014 = score(doc=1608,freq=2.0), product of:
        0.233039 = queryWeight, product of:
          4.2805085 = idf(docFreq=1662, maxDocs=44218)
          0.0544419 = queryNorm
        0.23646691 = fieldWeight in 1608, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.2805085 = idf(docFreq=1662, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1608)
  0.2 = coord(1/5)
```
Abstract

Personalization of information retrieval tailors search towards individual users to meet their particular information needs by taking into account information about users and their contexts, often through implicit sources of evidence such as user behaviors. This study looks at users' dwelling behavior on documents and several contextual factors: the stage of users' work tasks, task type, and users' knowledge of task topics, to explore whether or not taking account contextual factors could help infer document usefulness from dwell time. A controlled laboratory experiment was conducted with 24 participants, each coming 3 times to work on 3 subtasks in a general work task. The results show that task stage could help interpret certain types of dwell time as reliable indicators of document usefulness in certain task types, as was topic knowledge, and the latter played a more significant role when both were available. This study contributes to a better understanding of how dwell time can be used as implicit evidence of document usefulness, as well as how contextual factors can help interpret dwell time as an indicator of usefulness. These findings have both theoretical and practical implications for using behaviors and contextual factors in the development of personalization systems.

Belkin, N.J.: ¬An overview of results from Rutgers' investigations of interactive information retrieval (1998) 0.01

0.0073761265 = product of:
  0.03688063 = sum of:
    0.03688063 = weight(_text_:22 in 2339) [ClassicSimilarity], result of:
      0.03688063 = score(doc=2339,freq=2.0), product of:
        0.19064626 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.0544419 = queryNorm
        0.19345059 = fieldWeight in 2339, 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=2339)
  0.2 = coord(1/5)

Date: 22. 9.1997 19:16:05

Yuan, X. (J.); Belkin, N.J.: Applying an information-seeking dialogue model in an interactive information retrieval system (2014) 0.01

0.0073761265 = product of:
  0.03688063 = sum of:
    0.03688063 = weight(_text_:22 in 4544) [ClassicSimilarity], result of:
      0.03688063 = score(doc=4544,freq=2.0), product of:
        0.19064626 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.0544419 = queryNorm
        0.19345059 = fieldWeight in 4544, 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=4544)
  0.2 = coord(1/5)

Date: 6. 4.2015 19:22:59

Search (5 results, page 1 of 1)

Authors

Years

Themes