User Behavior Prediction Analysis Based on Time Context

Wei Gu; Lian Jun Chen

doi:10.4028/www.scientific.net/AMR.989-994.4920

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994User Behavior Prediction Analysis Based on Time...

User Behavior Prediction Analysis Based on Time Context

Abstract:

Analysis of user behavior management control has important significance for network users. This paper uses the clustering algorithm to cluster the user behavior for clicking certain software or Website in different times, through the time context of user behavior to analyze user behavior rules. Additionally, this paper analyzes the clustering result in detail, then, divides user behavior into different types. Finally, according to the clustering result, more targeted pages and applications are recommended to the network users to create huge business value.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

4920-4925

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.4920

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Online since:

July 2014

Authors:

Wei Gu*, Lian Jun Chen

Keywords:

Clustering, Time Context, User Behavior

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* - Corresponding Author

References

[1] Qianglin Zhang. Research of context aware system based on Semantic Web[D]. Beijing Jiaotong University (2010).

Google Scholar

[2] TAL l, MUNTEAN G. User-oriented cluster-based solution formultimedia content delivery over VANETs [C]/2012 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting(BMSB). Seoul, 2012: 1 - 5.

DOI: 10.1109/bmsb.2012.6264290

Google Scholar

[3] Song S, Chen L, Yu P S. On data dependencies in data spaces[C] / /IEEE 27th International Conference on Data Engineering( ICDE). Hannover, 2011: 470 － 481.

Google Scholar

[4] Dong Y, Shen D, Nie T. Discovering relationships among data resources in data excavate［C］/ /6th Web Information Systems and Applications Conference． Xuzhou, 2009: 76 － 81.

DOI: 10.1109/wisa.2009.38

Google Scholar

[5] GATTAL A, CHIBANI Y. Segmentation and recognition strategy of hand written connected digits based on the oriented sliding window [C]/2012 International Conference on Frontiers in Handwriting Recognition(ICFHR), Bari, 2012: 297 - 301.

DOI: 10.1109/icfhr.2012.265

Google Scholar

[6] JohnC, Duchi, Lester W, Mackey, Michael, Jordan. On the Consistency of Ranking Algorithms, Proceedings of the27thIntemational Conference on Machine Learning[J], 2010, l一8.

Google Scholar