Search (4 results, page 1 of 1)

  • × author_ss:"Ding, Y."
  • × year_i:[2010 TO 2020}
  1. Li, D.; Luo, Z.; Ding, Y.; Tang, J.; Sun, G.G.-Z.; Dai, X.; Du, J.; Zhang, J.; Kong, S.: User-level microblogging recommendation incorporating social influence (2017) 0.01
    0.008731907 = product of:
      0.03492763 = sum of:
        0.03492763 = weight(_text_:services in 3426) [ClassicSimilarity], result of:
          0.03492763 = score(doc=3426,freq=2.0), product of:
            0.17221296 = queryWeight, product of:
              3.6713707 = idf(docFreq=3057, maxDocs=44218)
              0.046906993 = queryNorm
            0.2028165 = fieldWeight in 3426, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.6713707 = idf(docFreq=3057, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3426)
      0.25 = coord(1/4)
    
    Abstract
    With the information overload of user-generated content in microblogging, users find it extremely challenging to browse and find valuable information in their first attempt. In this paper we propose a microblogging recommendation algorithm, TSI-MR (Topic-Level Social Influence-based Microblogging Recommendation), which can significantly improve users' microblogging experiences. The main innovation of this proposed algorithm is that we consider social influences and their indirect structural relationships, which are largely based on social status theory, from the topic level. The primary advantage of this approach is that it can build an accurate description of latent relationships between two users with weak connections, which can improve the performance of the model; furthermore, it can solve sparsity problems of training data to a certain extent. The realization of the model is mainly based on Factor Graph. We also applied a distributed strategy to further improve the efficiency of the model. Finally, we use data from Tencent Weibo, one of the most popular microblogging services in China, to evaluate our methods. The results show that incorporating social influence can improve microblogging performance considerably, and outperform the baseline methods.
  2. Yan, E.; Ding, Y.: Discovering author impact : a PageRank perspective (2011) 0.01
    0.005887897 = product of:
      0.023551589 = sum of:
        0.023551589 = product of:
          0.047103178 = sum of:
            0.047103178 = weight(_text_:management in 2704) [ClassicSimilarity], result of:
              0.047103178 = score(doc=2704,freq=2.0), product of:
                0.15810528 = queryWeight, product of:
                  3.3706124 = idf(docFreq=4130, maxDocs=44218)
                  0.046906993 = queryNorm
                0.29792285 = fieldWeight in 2704, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.3706124 = idf(docFreq=4130, maxDocs=44218)
                  0.0625 = fieldNorm(doc=2704)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Source
    Information processing and management. 47(2011) no.1, S.125-134
  3. Ding, Y.: Applying weighted PageRank to author citation networks (2011) 0.01
    0.0055608437 = product of:
      0.022243375 = sum of:
        0.022243375 = product of:
          0.04448675 = sum of:
            0.04448675 = weight(_text_:22 in 4188) [ClassicSimilarity], result of:
              0.04448675 = score(doc=4188,freq=2.0), product of:
                0.1642603 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.046906993 = queryNorm
                0.2708308 = fieldWeight in 4188, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=4188)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Date
    22. 1.2011 13:02:21
  4. Ding, Y.; Zhang, G.; Chambers, T.; Song, M.; Wang, X.; Zhai, C.: Content-based citation analysis : the next generation of citation analysis (2014) 0.00
    0.004766437 = product of:
      0.019065749 = sum of:
        0.019065749 = product of:
          0.038131498 = sum of:
            0.038131498 = weight(_text_:22 in 1521) [ClassicSimilarity], result of:
              0.038131498 = score(doc=1521,freq=2.0), product of:
                0.1642603 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.046906993 = queryNorm
                0.23214069 = fieldWeight in 1521, 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=1521)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Date
    22. 8.2014 16:52:04