xt-size-adjust: auto; -webkit-text-str[1] M. Hilbert, “How much information is there in the ‘information society’?,”
Significance, vol. 9, no. 4, pp. 8–12, Aug. 2012.
[2] Eb. Inc., “Top 15 Most Popular Search Engines | December 2014.”
[Online]. Available: http://www.ebizmba.com/articles/search-engines.
[Accessed: 03-Dec-2014].
[3] J. Surowiecki, The wisdom of crowds. New York: Anchor Books, 2005.
[4] S. K. M. Yi, M. Steyvers, M. D. Lee, and M. J. Dry, “The Wisdom of the
Crowd in Combinatorial Problems,” Cognitive Science, vol. 36, no. 3, pp.
452–470, Apr. 2012.
[5] “Facebook.” [Online]. http://www.facebook.com. [Accessed: 08-Feb-
2016].
[6] “Twitter.” [Online]. http://www.twitter.com. [Accessed: 08-Feb-2016].
[7] “Google+.” [Online]. http://plus.google.com. [Accessed: 08-Feb-2016].
[8] “LinkedIn.” [Online]. http://www.linkedin.com. [Accessed: 08-Feb-2016].
[9] “Delicious.” [Online]. https://delicious.com/. [Accessed: 08-Feb-2016].
[10] “StumbleUpon.” [Online]. http://www.stumbleupon.com. [Accessed: 08-
Feb-2016].
[11] “Reddit.” [Online]. Available: https://www.reddit.com. [Accessed: 08-
Feb-2016].
[12] A. Muralidharan, Z. Gyongyi, and E. Chi, “Social annotations in web
search,” in Proceedings of the 2012 ACM annual conference on Human
Factors in Computing Systems - CHI ’12, 2012, p. 1085.
[13] S. Xu, S. Bao, B. Fei, Z. Su, and Y. Yu, “Exploring folksonomy for px; -webkit-text-size-adjust: auto; -wpersonalized search,” in Proceedings of the 31st annual international ACM
SIGIR conference on Research and development in information retrieval -
SIGIR ’08, 2008, pp. 155–162.
[14] M. R. Bouadjenek, H. Hacid, and M. Bouzeghoub, “Sopra,” in
Proceedings of the 36th international ACM SIGIR conference on Research
and development in information retrieval - SIGIR ’13, 2013, pp. 861–864.
[15] Y. Yanbe, A. Jatowt, S. Nakamura, and K. Tanaka, “Can social
bookmarking enhance search in the web?,” in Proceedings of the 7th
ACM/IEEE-CS joint conference on Digital libraries, 2007, pp. 107–116.
[16] S. Bao, G. Xue, X. Wu, Y. Yu, B. Fei, and Z. Su, “Optimizing web search
using social annotations,” in Proceedings of the 16th international
conference on World Wide Web - WWW ’07, 2007, pp. 501–510.
[17] I. Badache and M. Boughanem, “Harnessing Social Signals to Enhance a
Search,” in 2014 IEEE/WIC/ACM International Joint Conferences on Web
Intelligence (WI) and Intelligent Agent Technologies (IAT), 2014, pp. 303–
309.
[18] A. S. Hashwa, N. El-Fishawy, and S. M. Youssef, “Evaluating Social
Media Information Usage in Ranking the Web,” in 25th International
Conference on Computer Theory and Applications, 2015, pp. 84–90.
[19] P. Heymann, G. Koutrika, H. Garcia-molina, I. T. Report, L. U.
November, G. Koutrika, and H. Garcia-molina, “Can social bookmarking
improve web search?,” in Proceeding WSDM ’08 Proceedings of the 2008
International Conference on Web Search and Data Mining, 2008, pp. 195–
206.
[20] “Similarity (Lucene 3.0.3 API).” [Online]. Available:
http://lucene.apache.org/core/3_0_3/api/core/org/apache/lucene/search/Si
milarity.html. [Accessed: 15-Feb-2015].
[21] G. R. PRICE, “Extension of covariance selection mathematics,” Annals of
Human Genetics, vol. 35, no. 4, pp. 485–490, Apr. 1972.
[22] “DMOZ - the Open Directory Project.” [Online]. Available:
http://www.dmoz.org. [Accessed: 08-Feb-2016].
[23] P. A. Chirita, W. Nejdl, R. Paiu, and C. Kohlschütter, “Using ODP
metadata to personalize search,” in Proceedings of the 28th annual
international ACM SIGIR conference on Research and development in
information retrieval - SIGIR ’05, 2005, p. 178.
[24] C. D. Manning, Prabhakar Raghavan, and H. Schütze, An Introduction to
Information Retrieval. Cambridge University Press, 2009.