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Characterizing Web Syndication Behavior and Content

  • Conference paper
Web Information System Engineering – WISE 2011 (WISE 2011)

Abstract

We are witnessing a widespread of web syndication technologies such as RSS or Atom for a timely delivery of frequently updated Web content. Almost every personal weblog, news portal, or discussion forum employs nowadays RSS/Atom feeds for enhancing pull-oriented searching and browsing of web pages with push-oriented protocols of web content. Social media applications such as Twitter or Facebook also employ RSS for notifying users about the newly available posts of their preferred friends. Unfortunately, previous works on RSS/Atom statistical characteristics do not provide a precise and updated characterization of feeds’ behavior and content, characterization which can be used to successfully benchmark effectiveness and efficiency of various RSS processing/analysis techniques. In this paper, we present the first thorough analysis of three complementary features of real-scale RSS feeds, namely, publication activity, items structure and length, as well as, vocabulary of its content which we believe are crucial for Web 2.0 applications.

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References

  1. Ahmad, F., Kondrak, G.: Learning a Spelling Error Model from Search Query Logs. In: EMNLP (2005)

    Google Scholar 

  2. Baeza-Yates, R.A., Ribeiro-Neto, B.A.: Modern Information Retrieval. ACM Press / Addison-Wesley (1999)

    Google Scholar 

  3. Bouras, C., Poulopoulos, V., Tsogkas, V.: Creating Dynamic, Personalized RSS Summaries. In: ICDM, pp. 1–15 (2008)

    Google Scholar 

  4. Choi, S.-W.: Some statistical properties and zipf’s law in korean text corpus. JQL 7(1), 19–30 (2000)

    Google Scholar 

  5. Haghani, P., Michel, S., Aberer, K.: The gist of everything new: personalized top-k processing over web 2.0 streams. In: CIKM, pp. 489–498. ACM, New York (2010)

    Google Scholar 

  6. Hatzigeorgiu, N., Mikros, G., Carayannis, G.: Word length, word frequencies and zipf’s law in the greek language. JQL 8(3), 175–185 (2001)

    Google Scholar 

  7. Hristidis, V., Valdivia, O., Vlachos, M., Yu, P.S.: A System for Keyword Search on Textual Streams. In: SDM (2007)

    Google Scholar 

  8. Hu, C.-L., Chou, C.-K.: RSS Watchdog: an Instant Event Monitor on Real Online News Streams. In: CIKM, pp. 2097–2098 (2009)

    Google Scholar 

  9. Irmak, U., Mihaylov, S., Suel, T., Ganguly, S., Izmailov, R.: Efficient Query Subscription Processing for Prospective Search Engines. In: USENIX, pp. 375–380 (2006)

    Google Scholar 

  10. König, A.C., Church, K.W., Markov, M.: A Data Structure for Sponsored Search. In: ICDE, pp. 90–101 (2009)

    Google Scholar 

  11. Kumar, R., Vassilvitskii, S.: Generalized distances between rankings. In: WWW, pp. 571–580 (2010)

    Google Scholar 

  12. Laherrère, J., Sornette, D.: Stretched exponential distributions in nature and economy: ”fat tails” with characteristic scales. Eur. Phys. J. B 2(4), 525–539 (1998)

    Article  Google Scholar 

  13. Lambiotte, R., Ausloos, M., Thelwall, M.: Word Statistics in Blogs and RSS Feeds: Towards Empirical Universal Evidence. In: CoRR (2007)

    Google Scholar 

  14. Levering, R., Cutler, M.: The portrait of a common html web page. In: ACM Symp. on Document Engineering, pp. 198–204 (2006)

    Google Scholar 

  15. Liu, H., Ramasubramanian, V., Sirer, E.G.: Client Behavior and Feed Characteristics of RSS, a Publish-Subscribe System for Web Micronews. In: IMC, p. 3 (2005)

    Google Scholar 

  16. Ma, S., Zhang, Q.: A Study on Content and Management Style of Corporate Blogs. In: HCI, vol. 15, pp. 116–123 (2007)

    Google Scholar 

  17. Manning, C.D., Raghavan, P., Schütze, H.: Introduction to Information Retrieval. Cambridge University Press, Cambridge (2008)

    Book  MATH  Google Scholar 

  18. Montemurro, M.A.: Beyond the zipf-mandelbrot law in quantitative linguistics. Physica A 300(3-4), 567–578 (2001)

    Article  MATH  Google Scholar 

  19. Petrovic, M., Liu, H., Jacobsen, H.-A.: CMS-ToPSS: Efficient Dissemination of RSS Documents. In: VLDB, pp. 1279–1282 (2005)

    Google Scholar 

  20. Pitoura, T., Triantafillou, P.: Self-join size estimation in large-scale distributed data systems. In: ICDE, pp. 764–773 (2008)

    Google Scholar 

  21. Press, O.U.: Rt this: Oup dictionary team monitors twitterer’s tweets (June 2009)

    Google Scholar 

  22. Roitman, H., Carmel, D., Yom-Tov, E.: Maintaining dynamic channel profiles on the web. VLDB 1(1), 151–162 (2008)

    Google Scholar 

  23. Schmidt-Maenz, N., Koch, M.: Patterns in search queries. In: Data Analysis and Decision Support (2005)

    Google Scholar 

  24. Sia, K.C., Cho, J., Cho, H.-K.: Efficient monitoring algorithm for fast news alerts. TKDE 19, 950–961 (2007)

    Google Scholar 

  25. Silberstein, A., Terrace, J., Cooper, B.F., Ramakrishnan, R.: Feeding frenzy: selectively materializing users’ event feeds. In: SIGMOD, pp. 831–842 (2010)

    Google Scholar 

  26. Taddesse, F.G., Tekli, J., Chbeir, R., Viviani, M., Yetongnon, K.: Semantic-Based Merging of RSS Items. In: WWW, vol. 13(1-2), pp. 169–207 (2010)

    Google Scholar 

  27. Thelwall, M., Prabowo, R., Fairclough, R.: Are Raw RSS Feeds Suitable for Broad Issue Scanning? A Science Concern Case Study. JASIST 57(12), 1644–1654 (2006)

    Article  Google Scholar 

  28. Williams, H.E., Zobel, J.: Searchable words on the Web. JODL 5(2), 99–105 (2005)

    Google Scholar 

  29. Zien, J.Y., Meyer, J., Tomlin, J.A., Liu, J.: Web Query Characteristics and their Implications on Search Engines. In: WWW (2001)

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Hmedeh, Z., Vouzoukidou, N., Travers, N., Christophides, V., du Mouza, C., Scholl, M. (2011). Characterizing Web Syndication Behavior and Content. In: Bouguettaya, A., Hauswirth, M., Liu, L. (eds) Web Information System Engineering – WISE 2011. WISE 2011. Lecture Notes in Computer Science, vol 6997. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24434-6_3

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  • DOI: https://doi.org/10.1007/978-3-642-24434-6_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24433-9

  • Online ISBN: 978-3-642-24434-6

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