{"id":160745,"date":"2010-10-01T00:00:00","date_gmt":"2010-10-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/investigation-of-principles-of-context-sensitive-reminding\/"},"modified":"2018-10-16T20:09:57","modified_gmt":"2018-10-17T03:09:57","slug":"investigation-of-principles-of-context-sensitive-reminding","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/investigation-of-principles-of-context-sensitive-reminding\/","title":{"rendered":"Investigation of Principles of Context-Sensitive Reminding"},"content":{"rendered":"<div class=\"asset-content\">\n<p>We describe research on principles of context-sensitive reminding that show promise for serving in systems that work to jog peoples\u2019 memories about information that they may forget. The methods center on the construction and use of a set of distinct probabilistic models that predict (1) items that may be forgotten, (2) the expected relevance of the items, and (3) the cost of interruption associated with alerting about a reminder. We describe the use of this set of models in the Jogger reminder prototype that employs predictions and decision-theoretic optimization to compute the value of reminders about meetings.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We describe research on principles of context-sensitive reminding that show promise for serving in systems that work to jog peoples\u2019 memories about information that they may forget. The methods center on the construction and use of a set of distinct probabilistic models that predict (1) items that may be forgotten, (2) the expected relevance of [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13568],"msr-publication-type":[193718],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-160745","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-technology-for-emerging-markets","msr-locale-en_us"],"msr_publishername":"Microsoft 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