Abstract: A computer-implemented technique is described herein for scheduling events. The technique involves recommending one or more candidate spaces (e.g., candidate meeting rooms) based on a selected visit profile for each attendee to the event. More specifically, the technique selects a visit profile for each attendee from a group including a live visit profile, a short-term visit profile, and a long-term visit profile. Each such visit profile describes one or more visits made by the attendee within a prescribed timespan. The technique captures visit data for each such visit based on movement-related signals provided by one or more movement-determining mechanisms. A mobile computing device provides at least one movement-determining mechanism. In a preliminary phase, the technique can identify the geographical position of each candidate meeting space using a crowdsourcing operation.

Abstract: A computer-implemented technique is described herein for scheduling events. The technique involves recommending one or more candidate spaces (e.g., candidate meeting rooms) based on a selected visit profile for each attendee to the event. More specifically, the technique selects a visit profile for each attendee from a group including a live visit profile, a short-term visit profile, and a long-term visit profile. Each such visit profile describes one or more visits made by the attendee within a prescribed timespan. The technique captures visit data for each such visit based on movement-related signals provided by one or more movement-determining mechanisms. A mobile computing device provides at least one movement-determining mechanism. In a preliminary phase, the technique can identify the geographical position of each candidate meeting space using a crowdsourcing operation.

Abstract: A computer-implemented technique is described herein for detecting work-related visits. The technique includes receiving movement data from one or more movement-sensing mechanisms associated with a local computing device carried by a user. The technique further includes: determining, using a state machine, and based on the movement data, that a user has commenced a candidate visit, the candidate visit being described by visit data; determining, using the state machine, and based on the movement data, that the user has completed the candidate visit; and determining, using a context-determining component, and based on the visit data, whether the candidate visit corresponds to a work-related visit for which work has been completed. The technique further includes mechanisms that allow the user to add a content item to the visit data of an ongoing visit, prevent private data from leaving the local computing device, and efficiently consume power of the local computing device.

Abstract: A computer-implemented technique is described herein for detecting work-related visits. The technique includes receiving movement data from one or more movement-sensing mechanisms associated with a local computing device carried by a user. The technique further includes: determining, using a state machine, and based on the movement data, that a user has commenced a candidate visit, the candidate visit being described by visit data; determining, using the state machine, and based on the movement data, that the user has completed the candidate visit; and determining, using a context-determining component, and based on the visit data, whether the candidate visit corresponds to a work-related visit for which work has been completed. The technique further includes mechanisms that allow the user to add a content item to the visit data of an ongoing visit, prevent private data from leaving the local computing device, and efficiently consume power of the local computing device.