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(Added section Problems with Places) |
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Goals: | Goals: | ||
* Insights into usage of bookmarks history | * Insights into usage of bookmarks history | ||
* Define characteristics for test places databases | |||
* Use open source tools to create and iterate on reproducible analysis of the places stats data set | * Use open source tools to create and iterate on reproducible analysis of the places stats data set | ||
* [Andyed] Investigate potential to gather updated stats for metrics tracked in historical research (% usage of bookmarks, % new urls visited, etc.) | * [Andyed] Investigate potential to gather updated stats for metrics tracked in historical research (% usage of bookmarks, % new urls visited, etc.) | ||
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places$bookmark_tagged_pct = (places$bookmark_cnt - places$bookmark_nontag_cnt )/ places$bookmark_cnt | places$bookmark_tagged_pct = (places$bookmark_cnt - places$bookmark_nontag_cnt )/ places$bookmark_cnt | ||
places$folder_cnt_crrctd = places$folder_cnt - places$bookmark_cnt | places$folder_cnt_crrctd = places$folder_cnt - places$bookmark_cnt | ||
places$user_of_tags <- ifelse(places$tag_cnt > 0, c("1"), c("0")) | |||
Other Derived Values | Other Derived Values | ||
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Subsets | Subsets | ||
taggers <- places[places$tag_cnt > 0,] | taggers <- places[places$tag_cnt > 0,] | ||
livemarkers | livemarkers <- places[places$livemark_container_cnt > 0,] | ||
bookmarkers <- places[places$bookmark_cnt>20,] | |||
== Improvements to Data Collection == | |||
* Add visit_type summation to capture usage of bookmarks and overall visitation patterns (link click, bookmark, etc) | |||
** select count(*) as N, visit_type from moz_historyvisits group by visit_type | |||
* Compute distribution metrics on Session Length to inform design of trail style history visutalizations | |||
** sum of square, cubes, and 4th powers provides greater ability to characterize a distribution than min, max, mean, median | |||
== Problems with Places == | |||
The following problems in the database schema, APIs, or Places in general are preventing really interesting experimentation, analysis, or user experience: | |||
* Tab spawns... (fill me out!) | |||
== Related Research == | |||
* Hartmut Obendorf, Harald Weinreich, Eelco Herder, Matthias Mayer. Web Page Revisitation Revisited: Implications of a Long-term Click-stream Study of Browser Usage in: CHI 2007 | |||
** http://vsis-www.informatik.uni-hamburg.de/publications/view.php/280 | |||
** Classifies use of history into 3 tasks: short-term revisits (backtrack or undo), medium-term (re-utilize or observe) and long-term revisits (rediscover) | |||
** 70% of revisits occur within 1 hour | |||
** Bookmarks trigger less than 12% of url visits |