Document (#24930)

Author

Zavrel, J.

Title

Neural navigation interfaces for information retrieval : are they more than an appealing idea?

Source

Artificial intelligence review. 10(1996) nos.5/6, S.477-504

Year

1996

Abstract

Gives an overview of research in the area of using neural networks to construct navigation interfaces for information retrieval systems. Identifies problems in the application of Kohonen networks for information retrieval, and proposes to use the growing cell structures network, a variant of the Kohonen network which shows a more flexible adaptation to the domain structure. This network was tested on 2 standard test collections, using a combined recall and precision measure, and compared to traditional information retrieval methods. It performs at a competitive level of effectiveness, and is suitable for visualisation purposes. However, the incremental training procedures for networks result in a reliability problem, and the approach is computationally intensive. Also, the utility of the rsulting maps for navigation will need further improvement

Footnote

Contribution to a special issue on the application of artificial intelligence to information retrieval

Object

Kohonen-Netz
SOM

Similar documents (content)

1. Saarikoski, J.; Laurikkala, J.; Järvelin, K.; Juhola, M.: ¬A study of the use of self-organising maps in information retrieval (2009) 0.18

   0.17827494 = sum of:
     0.17827494 = product of:
       0.7428123 = sum of:
         0.018054616 = weight(abstract_txt:information in 3836) [ClassicSimilarity], result of:
           0.018054616 = score(doc=3836,freq=3.0), product of:
             0.06894929 = queryWeight, product of:
               1.5736498 = boost
               2.4188995 = idf(docFreq=10748, maxDocs=44421)
               0.018113563 = queryNorm
             0.26185355 = fieldWeight in 3836, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               2.4188995 = idf(docFreq=10748, maxDocs=44421)
               0.0625 = fieldNorm(doc=3836)
         0.12260016 = weight(abstract_txt:neural in 3836) [ClassicSimilarity], result of:
           0.12260016 = score(doc=3836,freq=1.0), product of:
             0.28302756 = queryWeight, product of:
               2.25446 = boost
               6.930783 = idf(docFreq=117, maxDocs=44421)
               0.018113563 = queryNorm
             0.43317392 = fieldWeight in 3836, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.930783 = idf(docFreq=117, maxDocs=44421)
               0.0625 = fieldNorm(doc=3836)
         0.077231646 = weight(abstract_txt:network in 3836) [ClassicSimilarity], result of:
           0.077231646 = score(doc=3836,freq=2.0), product of:
             0.18896672 = queryWeight, product of:
               2.2561421 = boost
               4.6239696 = idf(docFreq=1184, maxDocs=44421)
               0.018113563 = queryNorm
             0.40870503 = fieldWeight in 3836, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               4.6239696 = idf(docFreq=1184, maxDocs=44421)
               0.0625 = fieldNorm(doc=3836)
         0.030945739 = weight(abstract_txt:retrieval in 3836) [ClassicSimilarity], result of:
           0.030945739 = score(doc=3836,freq=1.0), product of:
             0.1424225 = queryWeight, product of:
               2.2616868 = boost
               3.4765 = idf(docFreq=3732, maxDocs=44421)
               0.018113563 = queryNorm
             0.21728125 = fieldWeight in 3836, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               3.4765 = idf(docFreq=3732, maxDocs=44421)
               0.0625 = fieldNorm(doc=3836)
         0.07459951 = weight(abstract_txt:networks in 3836) [ClassicSimilarity], result of:
           0.07459951 = score(doc=3836,freq=1.0), product of:
             0.23264252 = queryWeight, product of:
               2.5033314 = boost
               5.1305847 = idf(docFreq=713, maxDocs=44421)
               0.018113563 = queryNorm
             0.32066154 = fieldWeight in 3836, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               5.1305847 = idf(docFreq=713, maxDocs=44421)
               0.0625 = fieldNorm(doc=3836)
         0.41938064 = weight(abstract_txt:kohonen in 3836) [ClassicSimilarity], result of:
           0.41938064 = score(doc=3836,freq=2.0), product of:
             0.5099923 = queryWeight, product of:
               3.0262861 = boost
               9.303573 = idf(docFreq=10, maxDocs=44421)
               0.018113563 = queryNorm
             0.8223274 = fieldWeight in 3836, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               9.303573 = idf(docFreq=10, maxDocs=44421)
               0.0625 = fieldNorm(doc=3836)
       0.24 = coord(6/25)
   

2. Feiten, B.; Gunzel, S.: Automatic indexing of a sound database using self-organizing neural nets (1994) 0.17

   0.17491293 = sum of:
     0.17491293 = product of:
       0.87456465 = sum of:
         0.0982817 = weight(abstract_txt:adaptation in 1677) [ClassicSimilarity], result of:
           0.0982817 = score(doc=1677,freq=1.0), product of:
             0.14793773 = queryWeight, product of:
               1.1525311 = boost
               7.086347 = idf(docFreq=100, maxDocs=44421)
               0.018113563 = queryNorm
             0.664345 = fieldWeight in 1677, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               7.086347 = idf(docFreq=100, maxDocs=44421)
               0.09375 = fieldNorm(doc=1677)
         0.18390024 = weight(abstract_txt:neural in 1677) [ClassicSimilarity], result of:
           0.18390024 = score(doc=1677,freq=1.0), product of:
             0.28302756 = queryWeight, product of:
               2.25446 = boost
               6.930783 = idf(docFreq=117, maxDocs=44421)
               0.018113563 = queryNorm
             0.6497609 = fieldWeight in 1677, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.930783 = idf(docFreq=117, maxDocs=44421)
               0.09375 = fieldNorm(doc=1677)
         0.08191653 = weight(abstract_txt:network in 1677) [ClassicSimilarity], result of:
           0.08191653 = score(doc=1677,freq=1.0), product of:
             0.18896672 = queryWeight, product of:
               2.2561421 = boost
               4.6239696 = idf(docFreq=1184, maxDocs=44421)
               0.018113563 = queryNorm
             0.43349713 = fieldWeight in 1677, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.6239696 = idf(docFreq=1184, maxDocs=44421)
               0.09375 = fieldNorm(doc=1677)
         0.06564582 = weight(abstract_txt:retrieval in 1677) [ClassicSimilarity], result of:
           0.06564582 = score(doc=1677,freq=2.0), product of:
             0.1424225 = queryWeight, product of:
               2.2616868 = boost
               3.4765 = idf(docFreq=3732, maxDocs=44421)
               0.018113563 = queryNorm
             0.46092314 = fieldWeight in 1677, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               3.4765 = idf(docFreq=3732, maxDocs=44421)
               0.09375 = fieldNorm(doc=1677)
         0.44482034 = weight(abstract_txt:kohonen in 1677) [ClassicSimilarity], result of:
           0.44482034 = score(doc=1677,freq=1.0), product of:
             0.5099923 = queryWeight, product of:
               3.0262861 = boost
               9.303573 = idf(docFreq=10, maxDocs=44421)
               0.018113563 = queryNorm
             0.8722099 = fieldWeight in 1677, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               9.303573 = idf(docFreq=10, maxDocs=44421)
               0.09375 = fieldNorm(doc=1677)
       0.2 = coord(5/25)
   

3. Hui, S.C.; Lau, K.L.: ¬An application of neural networks in document retrieval (1997) 0.15

   0.15094255 = sum of:
     0.15094255 = product of:
       0.94339097 = sum of:
         0.49040064 = weight(abstract_txt:neural in 3287) [ClassicSimilarity], result of:
           0.49040064 = score(doc=3287,freq=4.0), product of:
             0.28302756 = queryWeight, product of:
               2.25446 = boost
               6.930783 = idf(docFreq=117, maxDocs=44421)
               0.018113563 = queryNorm
             1.7326957 = fieldWeight in 3287, product of:
               2.0 = tf(freq=4.0), with freq of:
                 4.0 = termFreq=4.0
               6.930783 = idf(docFreq=117, maxDocs=44421)
               0.125 = fieldNorm(doc=3287)
         0.15446329 = weight(abstract_txt:network in 3287) [ClassicSimilarity], result of:
           0.15446329 = score(doc=3287,freq=2.0), product of:
             0.18896672 = queryWeight, product of:
               2.2561421 = boost
               4.6239696 = idf(docFreq=1184, maxDocs=44421)
               0.018113563 = queryNorm
             0.81741005 = fieldWeight in 3287, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               4.6239696 = idf(docFreq=1184, maxDocs=44421)
               0.125 = fieldNorm(doc=3287)
         0.08752777 = weight(abstract_txt:retrieval in 3287) [ClassicSimilarity], result of:
           0.08752777 = score(doc=3287,freq=2.0), product of:
             0.1424225 = queryWeight, product of:
               2.2616868 = boost
               3.4765 = idf(docFreq=3732, maxDocs=44421)
               0.018113563 = queryNorm
             0.6145642 = fieldWeight in 3287, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               3.4765 = idf(docFreq=3732, maxDocs=44421)
               0.125 = fieldNorm(doc=3287)
         0.21099928 = weight(abstract_txt:networks in 3287) [ClassicSimilarity], result of:
           0.21099928 = score(doc=3287,freq=2.0), product of:
             0.23264252 = queryWeight, product of:
               2.5033314 = boost
               5.1305847 = idf(docFreq=713, maxDocs=44421)
               0.018113563 = queryNorm
             0.9069678 = fieldWeight in 3287, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               5.1305847 = idf(docFreq=713, maxDocs=44421)
               0.125 = fieldNorm(doc=3287)
       0.16 = coord(4/25)
   

4. Quast, D.: Neural fuzzy networks reasoning with uncertainty : what can knowledge- and information retrieval engineers learn from brain research? (1995) 0.15

   0.14679556 = sum of:
     0.14679556 = product of:
       0.61164814 = sum of:
         0.018032074 = weight(abstract_txt:more in 3281) [ClassicSimilarity], result of:
           0.018032074 = score(doc=3281,freq=1.0), product of:
             0.0679608 = queryWeight, product of:
               1.1047332 = boost
               3.3962307 = idf(docFreq=4044, maxDocs=44421)
               0.018113563 = queryNorm
             0.26533052 = fieldWeight in 3281, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               3.3962307 = idf(docFreq=4044, maxDocs=44421)
               0.078125 = fieldNorm(doc=3281)
         0.026891721 = weight(abstract_txt:using in 3281) [ClassicSimilarity], result of:
           0.026891721 = score(doc=3281,freq=2.0), product of:
             0.070409365 = queryWeight, product of:
               1.1244584 = boost
               3.4568708 = idf(docFreq=3806, maxDocs=44421)
               0.018113563 = queryNorm
             0.38193387 = fieldWeight in 3281, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               3.4568708 = idf(docFreq=3806, maxDocs=44421)
               0.078125 = fieldNorm(doc=3281)
         0.013029797 = weight(abstract_txt:information in 3281) [ClassicSimilarity], result of:
           0.013029797 = score(doc=3281,freq=1.0), product of:
             0.06894929 = queryWeight, product of:
               1.5736498 = boost
               2.4188995 = idf(docFreq=10748, maxDocs=44421)
               0.018113563 = queryNorm
             0.18897653 = fieldWeight in 3281, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               2.4188995 = idf(docFreq=10748, maxDocs=44421)
               0.078125 = fieldNorm(doc=3281)
         0.3065004 = weight(abstract_txt:neural in 3281) [ClassicSimilarity], result of:
           0.3065004 = score(doc=3281,freq=4.0), product of:
             0.28302756 = queryWeight, product of:
               2.25446 = boost
               6.930783 = idf(docFreq=117, maxDocs=44421)
               0.018113563 = queryNorm
             1.0829349 = fieldWeight in 3281, product of:
               2.0 = tf(freq=4.0), with freq of:
                 4.0 = termFreq=4.0
               6.930783 = idf(docFreq=117, maxDocs=44421)
               0.078125 = fieldNorm(doc=3281)
         0.038682174 = weight(abstract_txt:retrieval in 3281) [ClassicSimilarity], result of:
           0.038682174 = score(doc=3281,freq=1.0), product of:
             0.1424225 = queryWeight, product of:
               2.2616868 = boost
               3.4765 = idf(docFreq=3732, maxDocs=44421)
               0.018113563 = queryNorm
             0.27160156 = fieldWeight in 3281, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               3.4765 = idf(docFreq=3732, maxDocs=44421)
               0.078125 = fieldNorm(doc=3281)
         0.20851198 = weight(abstract_txt:networks in 3281) [ClassicSimilarity], result of:
           0.20851198 = score(doc=3281,freq=5.0), product of:
             0.23264252 = queryWeight, product of:
               2.5033314 = boost
               5.1305847 = idf(docFreq=713, maxDocs=44421)
               0.018113563 = queryNorm
             0.8962763 = fieldWeight in 3281, product of:
               2.236068 = tf(freq=5.0), with freq of:
                 5.0 = termFreq=5.0
               5.1305847 = idf(docFreq=713, maxDocs=44421)
               0.078125 = fieldNorm(doc=3281)
       0.24 = coord(6/25)
   

5. Cortez, E.M.; Park, S.C.; Kim, S.: ¬The hybrid application of an inductive learning method and a neural network (1995) 0.14

   0.14461416 = sum of:
     0.14461416 = product of:
       0.60255903 = sum of:
         0.057765186 = weight(abstract_txt:flexible in 3106) [ClassicSimilarity], result of:
           0.057765186 = score(doc=3106,freq=1.0), product of:
             0.117218316 = queryWeight, product of:
               1.025914 = boost
               6.30784 = idf(docFreq=219, maxDocs=44421)
               0.018113563 = queryNorm
             0.4928 = fieldWeight in 3106, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.30784 = idf(docFreq=219, maxDocs=44421)
               0.078125 = fieldNorm(doc=3106)
         0.02256827 = weight(abstract_txt:information in 3106) [ClassicSimilarity], result of:
           0.02256827 = score(doc=3106,freq=3.0), product of:
             0.06894929 = queryWeight, product of:
               1.5736498 = boost
               2.4188995 = idf(docFreq=10748, maxDocs=44421)
               0.018113563 = queryNorm
             0.32731694 = fieldWeight in 3106, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               2.4188995 = idf(docFreq=10748, maxDocs=44421)
               0.078125 = fieldNorm(doc=3106)
         0.26543713 = weight(abstract_txt:neural in 3106) [ClassicSimilarity], result of:
           0.26543713 = score(doc=3106,freq=3.0), product of:
             0.28302756 = queryWeight, product of:
               2.25446 = boost
               6.930783 = idf(docFreq=117, maxDocs=44421)
               0.018113563 = queryNorm
             0.93784904 = fieldWeight in 3106, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               6.930783 = idf(docFreq=117, maxDocs=44421)
               0.078125 = fieldNorm(doc=3106)
         0.096539564 = weight(abstract_txt:network in 3106) [ClassicSimilarity], result of:
           0.096539564 = score(doc=3106,freq=2.0), product of:
             0.18896672 = queryWeight, product of:
               2.2561421 = boost
               4.6239696 = idf(docFreq=1184, maxDocs=44421)
               0.018113563 = queryNorm
             0.5108813 = fieldWeight in 3106, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               4.6239696 = idf(docFreq=1184, maxDocs=44421)
               0.078125 = fieldNorm(doc=3106)
         0.06699949 = weight(abstract_txt:retrieval in 3106) [ClassicSimilarity], result of:
           0.06699949 = score(doc=3106,freq=3.0), product of:
             0.1424225 = queryWeight, product of:
               2.2616868 = boost
               3.4765 = idf(docFreq=3732, maxDocs=44421)
               0.018113563 = queryNorm
             0.4704277 = fieldWeight in 3106, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               3.4765 = idf(docFreq=3732, maxDocs=44421)
               0.078125 = fieldNorm(doc=3106)
         0.09324939 = weight(abstract_txt:networks in 3106) [ClassicSimilarity], result of:
           0.09324939 = score(doc=3106,freq=1.0), product of:
             0.23264252 = queryWeight, product of:
               2.5033314 = boost
               5.1305847 = idf(docFreq=713, maxDocs=44421)
               0.018113563 = queryNorm
             0.40082693 = fieldWeight in 3106, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               5.1305847 = idf(docFreq=713, maxDocs=44421)
               0.078125 = fieldNorm(doc=3106)
       0.24 = coord(6/25)