SMS seed customers mining model and algorithm based on content analysis
In order to mining SMS（short message service）seed customers from massive text messages，control the spread of the seed messages path and improve the efficiency of its spread，a SMS seed customers mining model and algorithm was proposed，which was based on content analysis. First of all，by analyzing the...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2016-02-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2016.02.015/ |
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| _version_ | 1841529792113934336 |
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| author | Zhichao HUANG Juncai TAO Shengbao GAO |
| author_facet | Zhichao HUANG Juncai TAO Shengbao GAO |
| author_sort | Zhichao HUANG |
| collection | DOAJ |
| description | In order to mining SMS（short message service）seed customers from massive text messages，control the spread of the seed messages path and improve the efficiency of its spread，a SMS seed customers mining model and algorithm was proposed，which was based on content analysis. First of all，by analyzing the interest，randomness and one-way characteristics of customer forwarding messages，the tree model of customer forwarding messages were constructed. Secondly，the optimal seed customers mining model was generated by definition and application of comprehensive evaluation function，and SMS seed customers mining was realized based on the concept of close group. Finally，by analyzing the actual data from telecom operators，the effectivity of the model and algorithm was verified. |
| format | Article |
| id | doaj-art-60b37d3bd5de44c2bb380dd84d15a72d |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2016-02-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-60b37d3bd5de44c2bb380dd84d15a72d2025-01-15T03:15:21ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012016-02-013210611159610273SMS seed customers mining model and algorithm based on content analysisZhichao HUANGJuncai TAOShengbao GAOIn order to mining SMS（short message service）seed customers from massive text messages，control the spread of the seed messages path and improve the efficiency of its spread，a SMS seed customers mining model and algorithm was proposed，which was based on content analysis. First of all，by analyzing the interest，randomness and one-way characteristics of customer forwarding messages，the tree model of customer forwarding messages were constructed. Secondly，the optimal seed customers mining model was generated by definition and application of comprehensive evaluation function，and SMS seed customers mining was realized based on the concept of close group. Finally，by analyzing the actual data from telecom operators，the effectivity of the model and algorithm was verified.http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2016.02.015/SMS seed customercontent analysismining modelmining algorithmclose group |
| spellingShingle | Zhichao HUANG Juncai TAO Shengbao GAO SMS seed customers mining model and algorithm based on content analysis Dianxin kexue SMS seed customer content analysis mining model mining algorithm close group |
| title | SMS seed customers mining model and algorithm based on content analysis |
| title_full | SMS seed customers mining model and algorithm based on content analysis |
| title_fullStr | SMS seed customers mining model and algorithm based on content analysis |
| title_full_unstemmed | SMS seed customers mining model and algorithm based on content analysis |
| title_short | SMS seed customers mining model and algorithm based on content analysis |
| title_sort | sms seed customers mining model and algorithm based on content analysis |
| topic | SMS seed customer content analysis mining model mining algorithm close group |
| url | http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2016.02.015/ |
| work_keys_str_mv | AT zhichaohuang smsseedcustomersminingmodelandalgorithmbasedoncontentanalysis AT juncaitao smsseedcustomersminingmodelandalgorithmbasedoncontentanalysis AT shengbaogao smsseedcustomersminingmodelandalgorithmbasedoncontentanalysis |