On Topic Aware Recommendation to Increase Popularity in Microblogging Services (Short Paper)-Reference-Cited by-同舟云学术

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On Topic Aware Recommendation to Increase Popularity in Microblogging Services (Short Paper)

Published:2016 Issue: Volume: Page:673-681
ISSN:0302-9743
Container-title:On the Move to Meaningful Internet Systems: OTM 2016 Conferences
language:
Short-container-title:

Author:

Litou Iouliana,Kalogeraki Vana,Gunopulos Dimitrios

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-48472-3_40

Reference22 articles.

1. Aslay, Ç., Barbieri, N., Bonchi, F., Baeza-Yates, R.A.: Online topic-aware influence maximization queries. In: EDBT 2014, Athens, Greece, pp. 295–306, March 2014

2. Banerjee, S., Ramanathan, K., Gupta, A.: Clustering short texts using wikipedia. In: SIGIR 2007, pp. 787–788. ACM (2007)

3. Lecture Notes in Computer Science;E Baralis,2013

4. Biuk-Aghai, R., Ng, K.K.: A method for automated document classification using wikipedia-derived weighted keywords. In: 2014 International Conference on ICODSE, pp. 1–6, November 2014

5. Chen, Q., Shipper, T., Khan, L.: Tweets mining using wikipedia and impurity cluster measurement. In: 2010 IEEE ISI, pp. 141–143 (2010)

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