Effective User Purchase Model Based on Tweets and Dynamics of user Interests

International Journal of Computer Trends and Technology (IJCTT)          
© 2015 by IJCTT Journal
Volume-28 Number-1
Year of Publication : 2015
Authors : Mfon-Abasi Raphael Idio, V. Raja


Mfon-Abasi Raphael Idio, V. Raja "Effective User Purchase Model Based on Tweets and Dynamics of user Interests". International Journal of Computer Trends and Technology (IJCTT) V28(1):17-20, October 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Microblogging services such as twitter, Weibo, and Tumblr create short-text messages like tweets which are shared at an unprecedented rate. These messages in their raw form while being informative also contains enormous amount of noise and redundancies. Mining these microblogging services can be very useful for business growth and opportunities. This project work proposes a mechanism for using short-text messages such as tweets to enhance user purchase model. It combines the benefits of Stream clustering module, High-level summarization module to model user profile based purchase system. The purchase portal will have two options such as; General Purchase and Profile Based Purchase where items are displayed base on user’s interest. Using a case study approach, the range, frequency, timing, and content of tweets in a corporate account was analyzed.

[1] Beyer M A, Laney D. The importance of „big data‟: A definition. Stamford, CT: Gartner, 2012.
[2] Emad G B, Soroush M, Saeed S G, Mohammad P, Farid R M, SeyyedSalim M, Shahram K. A Study on Prediction of User's Tendency Toward Purchases in Websites Based on Behavior Models. IEEE Trans. 2014.
[3] Zhenhua W, Lidan S, Ke Chen, Gang Chen, Sharad M. On Summarization and Timeline Generation for Evolutionary Tweet Streams. IEEE Trans. 2015.
[4] Kentaro S, Tomohiro Y, Takeshi F. Twitter-TTM: An Effcient Online Topic Modeling for Twitter considering Dynamics of User Interests and Topic Trends. SCIS&ISIS. 2014.
[5] Philipp M H, Mohamed Zaki, Niels Feldmann , Andy Neely. Big data for big business? A taxonomy of data-driven business models used by start- up firms. Cambridge Service Alliance. 2014.
[6] Bernard J. Jansen, Mimi Zhang. Twitter Power: Tweets as Electronic Word of Mouth. Journal of the american society for information science and technology, 60(11):2169–2188, 2009. Available: http://www.interscience.wiley.com
[7] Rogers S. Pressman. Software Engineering A practitioner approach. McGraw Hill Companies. 2001.
[8] Herbert Schildt. Java™: The Complete Reference, Seventh Edition. McGraw Hill.
[9] [Online] Available: http://dev.mysqlserver.com

Twitter, purchase, tweets, big data, data mining.