Resonance on the web: web dynamics and revisitation patterns

The Web is a dynamic, ever-changing collection of information accessed in a dynamic way. This paper explores the relationship between Web page content change (obtained from an hourly crawl of over 40K pages) and people's revisitation to those pages (collected via a large scale log analysis of 2.3M users). We identify the relationship, or resonance, between revisitation behavior and the amount and type of changes on those pages. By coupling our large scale log analysis with a complementary user study we explore the intent behind the revisitation behavior we observed. Using the notion of resonance to identify the likely content of interest, we describe a number of ways interaction with changing and revisited information can be better supported. We illustrate how understanding the association between change and revisitation might improve browser, crawler, and search engine design, and present a specific example of how knowledge of both can enable relevant content to be highlighted.

[1]  Katsumi Tanaka,et al.  A comparative web browser (CWB) for browsing and comparing web pages , 2003, WWW '03.

[2]  Abigail Sellen,et al.  How knowledge workers use the web , 2002, CHI.

[3]  Sang Ho Lee,et al.  Effective Criteria for Web Page Changes , 2006, APWeb.

[4]  Marc Najork,et al.  A large‐scale study of the evolution of Web pages , 2003, WWW '03.

[5]  Saul Greenberg,et al.  How people revisit web pages: empirical findings and implications for the design of history systems , 1997, Int. J. Hum. Comput. Stud..

[6]  Michael A. Shepherd,et al.  A Goal-based Classification of Web Information Tasks , 2006, ASIST.

[7]  Kerry Rodden,et al.  Smartback: supporting users in back navigation , 2004, WWW '04.

[8]  Jaime Teevan,et al.  Information re-retrieval: repeat queries in Yahoo's logs , 2007, SIGIR.

[9]  Terry Winograd,et al.  Dynamic bookmarks for the WWW , 1998, HYPERTEXT '98.

[10]  Wallace Koehler,et al.  Web page change and persistence - A four-year longitudinal study , 2002, J. Assoc. Inf. Sci. Technol..

[11]  Christopher Olston,et al.  What's new on the web?: the evolution of the web from a search engine perspective , 2004, WWW '04.

[12]  Sang Ho Lee,et al.  An Empirical Study on the Change of Web Pages , 2005, APWeb.

[13]  John T. Stasko,et al.  Using Graphic History in Browsing the World Wide Web , 1995, World Wide Web J..

[14]  Susan T. Dumais,et al.  The web changes everything: understanding the dynamics of web content , 2009, WSDM '09.

[15]  Saul Greenberg,et al.  Designing an Integrated Bookmark / History System for Web Browsing , 2000 .

[16]  Stuart K. Card,et al.  A taxonomic analysis of what world wide web activities significantly impact people's decisions and actions , 2001, CHI Extended Abstracts.

[17]  Eelco Herder,et al.  Web page revisitation revisited: implications of a long-term click-stream study of browser usage , 2007, CHI.

[18]  Fabio Grandi.  Introducing an annotated bibliography on temporal and evolution aspects in the World Wide Web , 2004, SGMD.

[19]  Hector Garcia-Molina,et al.  The Evolution of the Web and Implications for an Incremental Crawler , 2000, VLDB.

[20]  J. Friedman.  Special Invited Paper-Additive logistic regression: A statistical view of boosting , 2000 .

[21]  Susan T. Dumais,et al.  Large scale analysis of web revisitation patterns , 2008, CHI.

[22]  James E. Pitkow,et al.  Characterizing Browsing Strategies in the World-Wide Web , 1995, Comput. Networks ISDN Syst..

[23]  Eelco Herder.  Characterizations of User Web Revisit Behavior , 2005, LWA.

[24]  Kori Inkpen Quinn,et al.  An exploration of web-based monitoring: implications for design , 2007, CHI.

[25]  Peter Pirolli,et al.  Life, death, and lawfulness on the electronic frontier , 1997, CHI.

[26]  Mika Käki,et al.  Information search and re-access strategies of experienced web users , 2005, WWW '05.

[27]  Ryen W. White,et al.  WWW 2007 / Track: Browsers and User Interfaces Session: Personalization Investigating Behavioral Variability in Web Search , 2022 .

[28]  Andy Cockburn,et al.  What do web users do? An empirical analysis of web use , 2001, Int. J. Hum. Comput. Stud..

[29]  Susan T. Dumais,et al.  Once found, what then? A study of "keeping" behaviors in the personal use of Web information , 2005, ASIST.

[30]  Anja Feldmann,et al.  Rate of Change and other Metrics: a Live Study of the World Wide Web , 1997, USENIX Symposium on Internet Technologies and Systems.

[31]  Saul Greenberg,et al.  GETTING BACK TO BACK: ALTERNATE BEHAVIORS FOR A WEB BROWSER'S BACK BUTTON , 1999 .