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A Browser Application for Keyword Recommendation Based on User Web Search

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Computational Science and Its Applications – ICCSA 2018 (ICCSA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10962))

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Abstract

Keywords are the words and phrases that are typed into the search box of a search engine such as Google by the Internet users to find out the Web sites that match what the Internet users are trying to find. Keywords can reflect the preferences and needs of users. Keyword recommendation of search engine is a good way to quickly find the target information. Although third-party Web tracking and Google Analytic can analyze keywords of users, both of them work for commercial advertising. Our goal is to provide some tailor-made keywords for users in the browser. We help users find out the keywords that they may be interested in. This paper introduces a browser application that recommends users keywords by analyzing data of the users.

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References

  1. Soltani, A., Canty, S., Mayo, Q., Thomas, L., Hoofnagle, C.J.: Flash cookies and privacy. In: Intelligent Information Privacy Management of AAAI Spring Symposium, pp. 158–163 (2010)

    Google Scholar 

  2. Ayenson, M., Wambach, D.J., Soltani, A., Good, N., Hoofnagle, C.J.: Flash cookies and privacy II: now with HTML5 and ETag respawning. SSRN Electron. J. 1–21 (2011)

    Google Scholar 

  3. Mayer, J.R., Mitchell, J.J.: Third-party web tracking: policy and technology. In: Proceedings of the 2012 IEEE Symposium on Security and Privacy, pp. 413–427 (2012)

    Google Scholar 

  4. Roesner, F., Kohno, T., Wetherall, D.: Detecting and defending against third-party tracking on the web. In: Proceedings of the 9th USENIX Conference on Networked Systems Design and Implementation, p. 12 (2012)

    Google Scholar 

  5. Kuo, R.J., Chie, M.C., Chiu, Y.T.: Application of particle swarm optimization to association rule mining. Appl. Soft Comput. 11(1), 326–336 (2011)

    Article  Google Scholar 

  6. Wu, X., Zhu, X., Wu, G.Q., Dign, W.: Data mining with big data. IEEE Trans. Knowl. Data Eng. 26(1), 97–107 (2014)

    Article  Google Scholar 

  7. Wu, H., Lu, Z., Pan, L., Xu, R., Jiang, W.: An improved apriori-based algorithm for association rules mining. In: Proceedings of the 6th International Conference on Fuzzy Systems and Knowledge Discovery, vol. 2, pp. 51–55 (2009)

    Google Scholar 

  8. Mulazzani, M., Reschl, P., Huber, M., Leithner, M., Schrittwisser, S., Weippl, E.R.: Fast and reliable browser identification with JavaScript engine fingerprinting. In: Proceedings of Web 2.0 Workshop on Security and Privacy, pp. 1–18 (2013)

    Google Scholar 

  9. Helal, S., Hammer, J., Zhang, J., Khushraj, A.: A three-tier architecture for ubiquitous data access. In: Procceedings of ACS/IEEE International on Computer Systems and Applications, pp. 177–180 (2001)

    Google Scholar 

  10. Reschl, P., Mulazzani, M., Huber, M., Weippl, E.: Efficient browser identification with JavaScript engine fingerprinting. In: Proceedings of Annual Computer Security Applications Conference (2011)

    Google Scholar 

  11. Zhao, G., Pechmann, C.: The impact of regulatory focus on adolescents’ response to antismoking advertising campaigns. J. Mark. Res. 44(4), 671–687 (2007)

    Article  Google Scholar 

  12. Landge, A., Randive, A., Ambi, A., Alagoudar, P., Rathod, G.I.: Keyword based service recommendation system for hotel system using collaborative filtering. Int. Res. J. Eng. Technol. 3(2), 788–792 (2016)

    Google Scholar 

  13. Yamaguchi, F., Nishi, H.: Hardware-based hash functions for network applications. In: Proceedings of the 19th IEEE International Conference on Networks, pp. 1–6 (2013)

    Google Scholar 

  14. Abraham, M., Meierhoefer, C., Lipsman, A.: The impact of cookie deletion on the accuracy of site-server and ad-server metrics: an empirical comScore study (2007). https://www.researchgate.net/publication/265537805_THE_IMPACT_OF_ COOKIE_DELETION_ON_THE_ACCURACY_OF_SITE-SERVER_AND_AD-SERVER_METRICS_AN_EMPIRICAL_COMSCORE_STUDY

  15. Wilson, R.F., Pettijohn, J.B.: Using keyword research software to assist in the search for high-demand, low-supply online niches: an overview. J. Internet Commer. 6(1), 101–117 (2008)

    Article  Google Scholar 

  16. Cui, M., Hu, S.: Search engine optimization research for website promotion. In: Proceedings of the 2011 International Conference of Information Technology, Computer Engineering and Management Sciences, vol. 4, pp. 100–103 (2011)

    Google Scholar 

  17. FingerprintJS. http://valve.github.io/fingerprintjs/

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Correspondence to Noriaki Yoshiura .

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Kuo, C., Yoshiura, N. (2018). A Browser Application for Keyword Recommendation Based on User Web Search. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10962. Springer, Cham. https://doi.org/10.1007/978-3-319-95168-3_10

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  • DOI: https://doi.org/10.1007/978-3-319-95168-3_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95167-6

  • Online ISBN: 978-3-319-95168-3

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