{"id":157106,"date":"2007-10-01T00:00:00","date_gmt":"2007-10-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/whered-it-go-how-people-ask-after-lost-web-information\/"},"modified":"2018-10-16T21:37:12","modified_gmt":"2018-10-17T04:37:12","slug":"whered-it-go-how-people-ask-after-lost-web-information","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/whered-it-go-how-people-ask-after-lost-web-information\/","title":{"rendered":"&#8220;Where&#8217;d it Go?&#8221;: How People Ask After Lost Web Information"},"content":{"rendered":"<div class=\"asset-content\">\n<p>This paper investigates the way people described the difficulties they encountered when returning to information on the Web. It presents analysis of Web pages, collected via a Web search, where the phrase, \u201cWhere\u201fd it go?\u201d was used. A number of interesting observations arose from this analysis, including that the path originally taken to get to the information target is commonly referred to during its re-retrieval, and that the temporal aspects of when the information was last seen were only important when considered relative to other events. While people expressed frustration when problems re-finding arose, an explanation of why the change had occurred was often sufficient to allay that frustration, even in the absence of a solution. The implications of these observations for systems that support re-finding in dynamic environments are discussed.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper investigates the way people described the difficulties they encountered when returning to information on the Web. It presents analysis of Web pages, collected via a Web search, where the phrase, \u201cWhere\u201fd it go?\u201d was used. A number of interesting observations arose from this analysis, including that the path originally taken to get to [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13554,13555],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-157106","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-human-computer-interaction","msr-research-area-search-information-retrieval","msr-locale-en_us"],"msr_publishername":"Wiley","msr_edition":"Proceedings of 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