Transcript ppt
How Highlighting Change Affects People’s Web Interactions Jaime Teevan, Susan Dumais & Dan Liebling Microsoft Research Web Dynamics Content Changes January February March April May June July August September • Studies of content change [Adar et al., Fetterly et al.] • Web doubles and half the pages change yearly • Frequency and degree of change characterized Web Dynamics • People revisit Web pages frequently Content Changes – Half of visits are revisits [Adar et al., Tauscher & Greenberg] – A third of searches are for re-finding [Teevan et al.] • Revisitation relates to change January February March April May June July August September – 66% of revisits are to changed pages [Adar et al.] – 20% of the content changes [Adar et al.] – Often motivated by change [Adar et al., Keller et al.] People – Revisit Change can cause problems [Obendorf et al., Teevan et al.] January February March April May June July August September Web Dynamics Content Changes January February March April May June July August September January February March April May June July August September People Revisit Today’s Browse and Search Experiences Ignores … Systems That Expose Web Change • Historical access to Web pages – Internet Archives (archive.org) • Subscription to Web content change – RSS, Web slices – Monitoring support [Kellar et al.] • In-situ awareness of Web content change – new symbols – Dynamo, Difference Engine, WebCQ DiffIE New to you Always on Non-intrusive In-situ Changes to page since your last visit SURVEY How often do pages change? o o o o o 30 people install DiffIE SURVEY How often do pages change? o o o o o Studying DiffIE How often do you revisit? o o o o o How often do you revisit? o o o o o Content Changes April 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 April 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 People Revisit People Revisit More • Perception of revisitation remains constant – How often do you revisit? – How often are revisits to view new content? • Actual revisitation increases – First week: 39.4% of visits are revisits – Last week: 45.0% of visits are revisits • Why do people revisit more? 14% Revisited Pages Change More • Perception of change increases – What proportion of pages change regularly? – How often do you notice unexpected change? • Amount of change seen increases – First week: 21.5% revisits changed by 6.2% – Last week: 32.4% revisits changed by 9.5% 8% 17% 51+% • Exposed change drives visits to changed pages Perceptions of Change Reinforced • Change by page type • Pages that change a lot change more • Pages that change a little change less News pages Message boards, forums, news groups Search engine results Change a lot Blogs you read Pages with product information Wikipedia pages Change little Company homepages Personal home pages of people you know Reference pages (dictionaries, yellow pages, maps) Affects of Highlighting Change • People revisit Web pages more • The pages revisited change more • Perceptions of change are reinforced Thank you. Jaime Teevan http://research.microsoft.com/~teevan Change Adar, Teevan, Dumais & Elsas. The Web changes everything: Understanding the dynamics of Web Content. WSDM ’09 (Best Student Paper). Elsas & Dumais. Leveraging temporal dynamics of document content in relevance ranking. WSDM ’10. Revisitation Adar, Teevan & Dumais. Large scale analysis of Web revisitation patterns. CHI ’08 (Best Paper). Teevan, Adar, Jones & Potts. Information re-retrieval: Repeat queries in Yahoo’s logs. SIGIR ’07. Tyler & Teevan. Large scale query log analysis of re-finding. WSDM ’10. Relationship Adar, Teevan & Dumais. Resonance on the Web: Web dynamics and revisitation patterns. CHI ’09. DiffIE Teevan, Dumais, Liebling & Hughes. Changing how people view changes on the Web. UIST ’09. Teevan, Dumais & Liebling. A longitudinal study of how highlighting Web content change affects people’s Web interactions. CHI ’10 (Best Paper).