Microsoft Technology Licensing, LLC

Chiqun Zhang

Dragomir Dimitrov Yankov

Wei Wu

Maksim Lepikhin

Simon Levi Shapiro

Michael Robert Evans

Described herein are technologies relating to assigning wireless beacons to positions within a building, wherein the wireless beacons are included in an indoor positioning system. A computer-implemented floorplan representation is generated, wherein the representation includes a layout of the building and materials of structures of the building. Coverages of wireless beacons are simulated, and multiple objectives are balanced to identify a number of wireless beacons to deploy in the building and positions in the building where the wireless beacons are to be deployed.

Computing system that is configured to assign wireless beacons to positions within a building

Technology is described herein for ranking candidate result items in at least two stages. In a first stage, the technology uses a first attention-based neural network to determine an extent of attention that each token of an input query should pay to the tokens of each candidate result item. In a second stage, the technology uses a ranking subsystem to perform listwise inference on output results provided by the first stage, to generate a plurality of ranking scores that establish an order of relevance of the candidate results items. The ranking subsystem may use a second attention-based neural network to perform the listwise inference. According to some implementations, the technology is configured to process queries and candidate result items having different kinds and combinations of features. For instance, one kind of input query may include text-based features, structure-based features, and geographic-based features.

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Sunnyvale, CA, United States of America

Chiqun Zhang