Microsoft Technology Licensing, LLC

Balagopal Chenicheri

Ariel Nicolas Gordon

Wende E Copfer

Venkata Sreekanth Kannepalli

Shabnam Erfani

Jin Young Kim

Ashwini Lakshmi Narasimhan

Megan M Rawley

A calendar application server, a computer-readable storage medium, and a corresponding method for food service management for food-associated events within the context of a calendar application are described herein. The computer-readable storage medium includes computer-executable instructions that, when executed by processor(s), cause the processor(s) to associate food services with a food-associated event within a calendar application in response to user commands received via an event UI functionality provided by the calendar application, to connect with any of the food services via corresponding APIs in response to user commands received via the event UI functionality provided by the calendar application, to generate food service data for the food-associated event in response to user interaction(s) with any of the food services via corresponding APIs provided within the context of the calendar application, and to reconcile the food service data with food-associated event data corresponding to the food-associated event within the calendar application.

Food service management for food-associated events from calendar application

The techniques disclosed herein enable systems to utilize the network effect of end-user viral adoption of collaborative services and applications hosted by multi-tenant computing systems. A system can achieve this by automatically clustering users who independently send requests to generate new tenants. A number of factors can enable a system to cluster users into a single tenant including characteristics of requests to generate new tenants and/or member identities received in association with requests to generate new tenants. Examples of request characteristics can include network addresses indicating a source of each request, a domain name or entity names received in association with a request, a rate in which requests are received, and/or heuristic techniques that utilize various combinations of these and other factors. The automatic selection of users for specific tenants allows a system to allow viral user adoption without a centralized IT manager.

Automatic clustering of users for enabling viral adoption of applications hosted by multi-tenant systems

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Renton, WA, United States of America

Balagopal Chenicheri