{"id":153049,"date":"2006-12-01T00:00:00","date_gmt":"2006-12-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/mobile-opportunistic-planning\/"},"modified":"2018-10-16T20:38:04","modified_gmt":"2018-10-17T03:38:04","slug":"mobile-opportunistic-planning","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/mobile-opportunistic-planning\/","title":{"rendered":"Mobile Opportunistic Planning: Methods and Models"},"content":{"rendered":"<div class=\"asset-content\">\n<p>We describe the construction of probabilistic user models that predict the context-sensitive cost of time, and the use of these models within a system that deliberates about adding waypoints to trips opportunistically so as to satisfy standing goals. We present details about the use of the models in a prototype named Mobile Commodities (MC). When travel is sensed via GPS, MC performs an ongoing analysis about the cost of diverging from a direct path to a destination. The system considers the location of potential waypoints that can satisfy goals, pricing of items at waypoints, and costs associated with the addi-tional time and travel required for the modified trips.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We describe the construction of probabilistic user models that predict the context-sensitive cost of time, and the use of these models within a system that deliberates about adding waypoints to trips opportunistically so as to satisfy standing goals. We present details about the use of the models in a prototype named Mobile Commodities (MC). When [&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":[13556],"msr-publication-type":[193718],"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-153049","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-artificial-intelligence","msr-locale-en_us"],"msr_publishername":"","msr_edition":"User Modeling 2007, 11th International Conference, UM 2007, Corfu, Greece, June 25-29, 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