Oath Inc.

Yahoo Assets LLC

Verizon Media Inc.

Csaba Kecskemeti

Jonathan Malkin

Wendell Craig Baker

Jinhui Liu

Jerry Zhang

Lajos Zoltan Deak

Robert Ormandi

Gergely Timar

One or more computing devices, systems, and/or methods for providing recommendations to travelers are provided. For example, locational data associated with a device of a user is evaluated to identify a set of location points at which the device was located over time. Location point pairings are generated from the set of location points, where a location point pairing may comprise a departure location point and an arrival location point. The location point pairings are filtered based upon various criteria to remove location point pairings that are not indicative of air flight travel (e.g., a location point pairing not satisfying an air flight speed threshold or an air flight travel distance threshold). The user may be determined as an air flight traveler that has recently used air flight travel to reach a destination location. A recommendation of content for the destination location is provided to the user.

Traveler recommendations

An electronic system may be configured to determine if a first-type device ID and a second-type device ID both identify a same device. To do so, the electronic system may preliminarily group a particular first-type ID with a particular second-type ID based on matching time slots and network addresses. Individual scores for each of the preliminary groups may be determined based on cardinalities associated with the time slots. Combined scores may then be determined for groups having the same first-type device ID and second-type device ID. A final analysis may be performed to confirm, with a sufficient level of confidence, whether first-type device IDs and second-type device IDs included in the preliminary groups identify the same device.

Device identification for multiple device IDs

An electronic system may be configured receive a set of location-based events and form the location-based events into a plurality of groups. The location-based events identify user devices that transmitted messages over the network and physical locations of the user devices when the messages were generated. The groups may be formed based on the physical locations and the number of groups to be formed. In some embodiments, the system may use k-means clustering to form the groups. The system may analyze the groups to determine a home location of at least some of the user devices identified in the set.

Home location identification using grouped location data

A method and apparatus for determining geographic clusters of geographical content may include computation of a first evaluation metric. The first evaluation metric may be descriptive of a distribution of geo-location points within a cluster of a plurality of geographic clusters. A second evaluation metric may also be computed that is descriptive of coherence of the plurality of geographic clusters. Geo-location points of the geographical content may be clustered based, at least in part on the first and second evaluation metrics.

Clustering of geographical content

Briefly, example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more computing devices to facilitate and/or support one or more operations and/or techniques for improving quality of location-related content, such as truncated location-related content, for example, while preserving and/or maintaining user privacy.

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San Jose, CA, United States of America

Csaba Kecskemeti