Document (#42963)

Author
Qiao, C.
Hu, X.
Title
¬A joint neural network model for combining heterogeneous user data sources : an example of at-risk student prediction
Source
Journal of the Association for Information Science and Technology. 71(2020) no.10, S.1192-1204
Year
2020
Abstract
Information service providers often require evidence from multiple, heterogeneous information sources to better characterize users and offer personalized service. In many cases, statistic information (for example, users' profiles) and sequentially dynamic information (for example, logs of interaction with information systems) are two prominent sources that can be combined to achieve optimized results. Previous attempts in combining these two sources mainly exploited models designed for either static or sequential information, but not both. This study aims to fill the gap by proposing a novel joint neural network model that can naturally fit both static and sequential user data. To evaluate the effectiveness of the proposed method, this study uses the problem of at-risk student prediction as an example where both static data (personal profiles) and sequential data (event logs) are involved. A thorough evaluation was conducted on an open data set, with comparisons to a range of existing approaches including both static and sequential models. The results reveal superb performances of the proposed method. Implications of the findings on further research and applications of joint models are discussed.
Content
https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24322.

Similar documents (content)

  1. Lykourentzou, I.; Giannoukos, I.; Mpardis, G.; Nikolopoulos, V.; Loumos, V.: Early and dynamic student achievement prediction in e-learning courses using neural networks (2009) 0.15
    0.14936768 = sum of:
      0.14936768 = product of:
        0.53345597 = sum of:
          0.039629538 = weight(abstract_txt:method in 4713) [ClassicSimilarity], result of:
            0.039629538 = score(doc=4713,freq=3.0), product of:
              0.081127055 = queryWeight, product of:
                1.1025754 = boost
                4.5124526 = idf(docFreq=1298, maxDocs=43556)
                0.0163059 = queryNorm
              0.4884873 = fieldWeight in 4713, product of:
                1.7320508 = tf(freq=3.0), with freq of:
                  3.0 = termFreq=3.0
                4.5124526 = idf(docFreq=1298, maxDocs=43556)
                0.0625 = fieldNorm(doc=4713)
          0.02460394 = weight(abstract_txt:network in 4713) [ClassicSimilarity], result of:
            0.02460394 = score(doc=4713,freq=1.0), product of:
              0.085152335 = queryWeight, product of:
                1.1295975 = boost
                4.6230445 = idf(docFreq=1162, maxDocs=43556)
                0.0163059 = queryNorm
              0.28894028 = fieldWeight in 4713, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                4.6230445 = idf(docFreq=1162, maxDocs=43556)
                0.0625 = fieldNorm(doc=4713)
          0.042662896 = weight(abstract_txt:proposed in 4713) [ClassicSimilarity], result of:
            0.042662896 = score(doc=4713,freq=3.0), product of:
              0.08521576 = queryWeight, product of:
                1.1300181 = boost
                4.624766 = idf(docFreq=1160, maxDocs=43556)
                0.0163059 = queryNorm
              0.5006456 = fieldWeight in 4713, product of:
                1.7320508 = tf(freq=3.0), with freq of:
                  3.0 = termFreq=3.0
                4.624766 = idf(docFreq=1160, maxDocs=43556)
                0.0625 = fieldNorm(doc=4713)
          0.09523952 = weight(abstract_txt:student in 4713) [ClassicSimilarity], result of:
            0.09523952 = score(doc=4713,freq=2.0), product of:
              0.16662043 = queryWeight, product of:
                1.5801182 = boost
                6.466867 = idf(docFreq=183, maxDocs=43556)
                0.0163059 = queryNorm
              0.57159567 = fieldWeight in 4713, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                6.466867 = idf(docFreq=183, maxDocs=43556)
                0.0625 = fieldNorm(doc=4713)
          0.118899904 = weight(abstract_txt:neural in 4713) [ClassicSimilarity], result of:
            0.118899904 = score(doc=4713,freq=2.0), product of:
              0.19318399 = queryWeight, product of:
                1.7014179 = boost
                6.963304 = idf(docFreq=111, maxDocs=43556)
                0.0163059 = queryNorm
              0.61547494 = fieldWeight in 4713, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                6.963304 = idf(docFreq=111, maxDocs=43556)
                0.0625 = fieldNorm(doc=4713)
          0.18893544 = weight(abstract_txt:prediction in 4713) [ClassicSimilarity], result of:
            0.18893544 = score(doc=4713,freq=4.0), product of:
              0.20879291 = queryWeight, product of:
                1.7688187 = boost
                7.2391515 = idf(docFreq=84, maxDocs=43556)
                0.0163059 = queryNorm
              0.90489393 = fieldWeight in 4713, product of:
                2.0 = tf(freq=4.0), with freq of:
                  4.0 = termFreq=4.0
                7.2391515 = idf(docFreq=84, maxDocs=43556)
                0.0625 = fieldNorm(doc=4713)
          0.023484724 = weight(abstract_txt:data in 4713) [ClassicSimilarity], result of:
            0.023484724 = score(doc=4713,freq=1.0), product of:
              0.11203759 = queryWeight, product of:
                2.048695 = boost
                3.3538349 = idf(docFreq=4137, maxDocs=43556)
                0.0163059 = queryNorm
              0.20961468 = fieldWeight in 4713, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                3.3538349 = idf(docFreq=4137, maxDocs=43556)
                0.0625 = fieldNorm(doc=4713)
        0.28 = coord(7/25)
    
  2. Chen, R.-S.; Hu, Y.-C.: ¬A novel method for discovering Fuzzy sequential patterns using the simple Fuzzy partition method (2003) 0.13
    0.1331371 = sum of:
      0.1331371 = product of:
        0.66568553 = sum of:
          0.051161513 = weight(abstract_txt:method in 2612) [ClassicSimilarity], result of:
            0.051161513 = score(doc=2612,freq=5.0), product of:
              0.081127055 = queryWeight, product of:
                1.1025754 = boost
                4.5124526 = idf(docFreq=1298, maxDocs=43556)
                0.0163059 = queryNorm
              0.6306344 = fieldWeight in 2612, product of:
                2.236068 = tf(freq=5.0), with freq of:
                  5.0 = termFreq=5.0
                4.5124526 = idf(docFreq=1298, maxDocs=43556)
                0.0625 = fieldNorm(doc=2612)
          0.024631435 = weight(abstract_txt:proposed in 2612) [ClassicSimilarity], result of:
            0.024631435 = score(doc=2612,freq=1.0), product of:
              0.08521576 = queryWeight, product of:
                1.1300181 = boost
                4.624766 = idf(docFreq=1160, maxDocs=43556)
                0.0163059 = queryNorm
              0.28904787 = fieldWeight in 2612, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                4.624766 = idf(docFreq=1160, maxDocs=43556)
                0.0625 = fieldNorm(doc=2612)
          0.023484724 = weight(abstract_txt:data in 2612) [ClassicSimilarity], result of:
            0.023484724 = score(doc=2612,freq=1.0), product of:
              0.11203759 = queryWeight, product of:
                2.048695 = boost
                3.3538349 = idf(docFreq=4137, maxDocs=43556)
                0.0163059 = queryNorm
              0.20961468 = fieldWeight in 2612, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                3.3538349 = idf(docFreq=4137, maxDocs=43556)
                0.0625 = fieldNorm(doc=2612)
          0.06704065 = weight(abstract_txt:example in 2612) [ClassicSimilarity], result of:
            0.06704065 = score(doc=2612,freq=1.0), product of:
              0.20929666 = queryWeight, product of:
                2.5045033 = boost
                5.1250243 = idf(docFreq=703, maxDocs=43556)
                0.0163059 = queryNorm
              0.32031402 = fieldWeight in 2612, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                5.1250243 = idf(docFreq=703, maxDocs=43556)
                0.0625 = fieldNorm(doc=2612)
          0.49936718 = weight(abstract_txt:sequential in 2612) [ClassicSimilarity], result of:
            0.49936718 = score(doc=2612,freq=4.0), product of:
              0.50287896 = queryWeight, product of:
                3.8821487 = boost
                7.9441333 = idf(docFreq=41, maxDocs=43556)
                0.0163059 = queryNorm
              0.99301666 = fieldWeight in 2612, product of:
                2.0 = tf(freq=4.0), with freq of:
                  4.0 = termFreq=4.0
                7.9441333 = idf(docFreq=41, maxDocs=43556)
                0.0625 = fieldNorm(doc=2612)
        0.2 = coord(5/25)
    
  3. Chen, H.-M.; Cooper, M.D.: Stochastic modeling of usage patterns in a Web-based information system (2002) 0.13
    0.12668829 = sum of:
      0.12668829 = product of:
        0.63344145 = sum of:
          0.056472298 = weight(abstract_txt:logs in 1575) [ClassicSimilarity], result of:
            0.056472298 = score(doc=1575,freq=1.0), product of:
              0.1794911 = queryWeight, product of:
                1.6400115 = boost
                6.7119894 = idf(docFreq=143, maxDocs=43556)
                0.0163059 = queryNorm
              0.3146245 = fieldWeight in 1575, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                6.7119894 = idf(docFreq=143, maxDocs=43556)
                0.046875 = fieldNorm(doc=1575)
          0.028558765 = weight(abstract_txt:models in 1575) [ClassicSimilarity], result of:
            0.028558765 = score(doc=1575,freq=1.0), product of:
              0.13041954 = queryWeight, product of:
                1.7121524 = boost
                4.6714907 = idf(docFreq=1107, maxDocs=43556)
                0.0163059 = queryNorm
              0.21897613 = fieldWeight in 1575, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                4.6714907 = idf(docFreq=1107, maxDocs=43556)
                0.046875 = fieldNorm(doc=1575)
          0.011302793 = weight(abstract_txt:information in 1575) [ClassicSimilarity], result of:
            0.011302793 = score(doc=1575,freq=2.0), product of:
              0.070302956 = queryWeight, product of:
                1.777759 = boost
                2.425247 = idf(docFreq=10472, maxDocs=43556)
                0.0163059 = queryNorm
              0.16077267 = fieldWeight in 1575, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                2.425247 = idf(docFreq=10472, maxDocs=43556)
                0.046875 = fieldNorm(doc=1575)
          0.041657098 = weight(abstract_txt:both in 1575) [ClassicSimilarity], result of:
            0.041657098 = score(doc=1575,freq=4.0), product of:
              0.116305955 = queryWeight, product of:
                1.8669876 = boost
                3.820461 = idf(docFreq=2594, maxDocs=43556)
                0.0163059 = queryNorm
              0.3581682 = fieldWeight in 1575, product of:
                2.0 = tf(freq=4.0), with freq of:
                  4.0 = termFreq=4.0
                3.820461 = idf(docFreq=2594, maxDocs=43556)
                0.046875 = fieldNorm(doc=1575)
          0.4954505 = weight(abstract_txt:sequential in 1575) [ClassicSimilarity], result of:
            0.4954505 = score(doc=1575,freq=7.0), product of:
              0.50287896 = queryWeight, product of:
                3.8821487 = boost
                7.9441333 = idf(docFreq=41, maxDocs=43556)
                0.0163059 = queryNorm
              0.9852281 = fieldWeight in 1575, product of:
                2.6457512 = tf(freq=7.0), with freq of:
                  7.0 = termFreq=7.0
                7.9441333 = idf(docFreq=41, maxDocs=43556)
                0.046875 = fieldNorm(doc=1575)
        0.2 = coord(5/25)
    
  4. Soulier, L.; Jabeur, L.B.; Tamine, L.; Bahsoun, W.: On ranking relevant entities in heterogeneous networks using a language-based model (2013) 0.13
    0.12631941 = sum of:
      0.12631941 = product of:
        0.39474815 = sum of:
          0.04920788 = weight(abstract_txt:network in 2662) [ClassicSimilarity], result of:
            0.04920788 = score(doc=2662,freq=4.0), product of:
              0.085152335 = queryWeight, product of:
                1.1295975 = boost
                4.6230445 = idf(docFreq=1162, maxDocs=43556)
                0.0163059 = queryNorm
              0.57788056 = fieldWeight in 2662, product of:
                2.0 = tf(freq=4.0), with freq of:
                  4.0 = termFreq=4.0
                4.6230445 = idf(docFreq=1162, maxDocs=43556)
                0.0625 = fieldNorm(doc=2662)
          0.06523417 = weight(abstract_txt:heterogeneous in 2662) [ClassicSimilarity], result of:
            0.06523417 = score(doc=2662,freq=1.0), product of:
              0.16312112 = queryWeight, product of:
                1.5634376 = boost
                6.398599 = idf(docFreq=196, maxDocs=43556)
                0.0163059 = queryNorm
              0.39991245 = fieldWeight in 2662, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                6.398599 = idf(docFreq=196, maxDocs=43556)
                0.0625 = fieldNorm(doc=2662)
          0.038078353 = weight(abstract_txt:models in 2662) [ClassicSimilarity], result of:
            0.038078353 = score(doc=2662,freq=1.0), product of:
              0.13041954 = queryWeight, product of:
                1.7121524 = boost
                4.6714907 = idf(docFreq=1107, maxDocs=43556)
                0.0163059 = queryNorm
              0.29196817 = fieldWeight in 2662, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                4.6714907 = idf(docFreq=1107, maxDocs=43556)
                0.0625 = fieldNorm(doc=2662)
          0.018457385 = weight(abstract_txt:information in 2662) [ClassicSimilarity], result of:
            0.018457385 = score(doc=2662,freq=3.0), product of:
              0.070302956 = queryWeight, product of:
                1.777759 = boost
                2.425247 = idf(docFreq=10472, maxDocs=43556)
                0.0163059 = queryNorm
              0.26254067 = fieldWeight in 2662, product of:
                1.7320508 = tf(freq=3.0), with freq of:
                  3.0 = termFreq=3.0
                2.425247 = idf(docFreq=10472, maxDocs=43556)
                0.0625 = fieldNorm(doc=2662)
          0.027771398 = weight(abstract_txt:both in 2662) [ClassicSimilarity], result of:
            0.027771398 = score(doc=2662,freq=1.0), product of:
              0.116305955 = queryWeight, product of:
                1.8669876 = boost
                3.820461 = idf(docFreq=2594, maxDocs=43556)
                0.0163059 = queryNorm
              0.23877881 = fieldWeight in 2662, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                3.820461 = idf(docFreq=2594, maxDocs=43556)
                0.0625 = fieldNorm(doc=2662)
          0.033212416 = weight(abstract_txt:data in 2662) [ClassicSimilarity], result of:
            0.033212416 = score(doc=2662,freq=2.0), product of:
              0.11203759 = queryWeight, product of:
                2.048695 = boost
                3.3538349 = idf(docFreq=4137, maxDocs=43556)
                0.0163059 = queryNorm
              0.29643992 = fieldWeight in 2662, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.3538349 = idf(docFreq=4137, maxDocs=43556)
                0.0625 = fieldNorm(doc=2662)
          0.0535174 = weight(abstract_txt:sources in 2662) [ClassicSimilarity], result of:
            0.0535174 = score(doc=2662,freq=1.0), product of:
              0.18010819 = queryWeight, product of:
                2.3233101 = boost
                4.754245 = idf(docFreq=1019, maxDocs=43556)
                0.0163059 = queryNorm
              0.2971403 = fieldWeight in 2662, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                4.754245 = idf(docFreq=1019, maxDocs=43556)
                0.0625 = fieldNorm(doc=2662)
          0.10926915 = weight(abstract_txt:joint in 2662) [ClassicSimilarity], result of:
            0.10926915 = score(doc=2662,freq=1.0), product of:
              0.2633635 = queryWeight, product of:
                2.4330378 = boost
                6.6383777 = idf(docFreq=154, maxDocs=43556)
                0.0163059 = queryNorm
              0.4148986 = fieldWeight in 2662, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                6.6383777 = idf(docFreq=154, maxDocs=43556)
                0.0625 = fieldNorm(doc=2662)
        0.32 = coord(8/25)
    
  5. Chang, R.: ¬The development of indexing technology (1993) 0.12
    0.11733151 = sum of:
      0.11733151 = product of:
        0.97776264 = sum of:
          0.091520496 = weight(abstract_txt:method in 7021) [ClassicSimilarity], result of:
            0.091520496 = score(doc=7021,freq=4.0), product of:
              0.081127055 = queryWeight, product of:
                1.1025754 = boost
                4.5124526 = idf(docFreq=1298, maxDocs=43556)
                0.0163059 = queryNorm
              1.1281132 = fieldWeight in 7021, product of:
                2.0 = tf(freq=4.0), with freq of:
                  4.0 = termFreq=4.0
                4.5124526 = idf(docFreq=1298, maxDocs=43556)
                0.125 = fieldNorm(doc=7021)
          0.021312755 = weight(abstract_txt:information in 7021) [ClassicSimilarity], result of:
            0.021312755 = score(doc=7021,freq=1.0), product of:
              0.070302956 = queryWeight, product of:
                1.777759 = boost
                2.425247 = idf(docFreq=10472, maxDocs=43556)
                0.0163059 = queryNorm
              0.30315587 = fieldWeight in 7021, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                2.425247 = idf(docFreq=10472, maxDocs=43556)
                0.125 = fieldNorm(doc=7021)
          0.8649294 = weight(abstract_txt:sequential in 7021) [ClassicSimilarity], result of:
            0.8649294 = score(doc=7021,freq=3.0), product of:
              0.50287896 = queryWeight, product of:
                3.8821487 = boost
                7.9441333 = idf(docFreq=41, maxDocs=43556)
                0.0163059 = queryNorm
              1.7199553 = fieldWeight in 7021, product of:
                1.7320508 = tf(freq=3.0), with freq of:
                  3.0 = termFreq=3.0
                7.9441333 = idf(docFreq=41, maxDocs=43556)
                0.125 = fieldNorm(doc=7021)
        0.12 = coord(3/25)