Yellowpages.com LLC

Other

Verve Wireless, Inc.

Verge Wireless, Inc.

Vynalam, Ltd.

David Rosenberg

Cagatay Berk Kapicioglu

Medhanie Estiphanos

Gokul Kumar Kolandavel

A description of a user is estimated based on the context of a user's past and present locations. A disclosed data-processing system continually receives data points for each user that represent spatial and/or temporal events. These events represent, for example, presence of a person at a specific geographic location such as a geographic area or point of interest (POI). The data-processing system evaluates the received data points in relation to one or more of the geographic locations, yielding results that are also based on the demographic characteristics of each visited location and the commercial characteristics of each visited location. The data-processing system evaluates the data points also to determine patterns exhibited in each user's activity or inactivity, and patterns exhibited in the distance traveled and the type of travel. The data-processing system bases the user descriptions on the results of these evaluations.

User description based on contexts of location and time

A technique is disclosed for ranking venues and for providing a user with one or more of the ranked venues. To do so, a data processing system trains a model during a first, training sequence, by using a training dataset of past check-ins that were made by users visiting venues. The trained model, representing a learned hypothesis, represents venues that are ranked according to their relevance to users who are also represented by the model. During a second, run-time sequence, the system receives real-time geolocation data that represents users and generates a set of candidate venues for a user by determining venues that are nearby the geolocation of the user. The system then ranks the generated candidate venues by applying the learned hypothesis. One or more of the ranked venues can be provided to a user's wireless terminal, for example, where they can be presented as venue recommendations.

Method for analyzing and ranking venues

A technique is disclosed for presenting possible cheek-in venues to a mobile device user, such as for the purpose of checking in with social networking services such as Foursquare. The disclosed technique operates by training a model during an initial training sequence. The trained model, representing a teamed hypothesis, describes venues that are ranked according to their relevance to users who are also described by the model. During a subsequent run-time sequence, the system receives real-time geolocation data that represents users, wherein the data includes user geolocation and the level of accuracy of the geolocation. The system generates a set of candidate venues, ranks the generated candidate venues by applying the learned hypothesis, which can be dependent on the level of accuracy, and presents the user with the ranked venues as possible cheek-in venues. The user can then select the venue actually being checked into from the presented check-in venues.

Venue prediction based on ranking

In one embodiment, a method for transferring digital files is provided. The method includes: downloading an application for facilitating the transfer of used digital files; storing the application at the client; receiving an indication of a used digital file that a user desires to sell; searching, using the application, storage on the client to determine any instances of the digital file; deleting any instances of the digital file if they are determined; transferring a forwarded file of the used digital file to a second entity; and deleting, using the application, the used digital file from the client upon transfer of the forwarded file.

Digital file processing for secondary sale

A description of a user is estimated based on the context of the user's travel pattern. A disclosed data-processing system continually receives data points originating from the user's cell phone, for example, wherein each data point represents a visit by the user to a particular geolocation, at a particular time. The system then partitions the received data points into groups, wherein the groups represent the different places that the user has visited. The system counts how many data points are in each group. Based on the number of data points in each group, as well as the number of groups, the system then determines the entropy of the received data points that correspond to the particular user, which is also regarded as the entropy of the user's travel pattern. The data-processing system then estimates a user description for the user, based at least in part on the determined user entropy.

User description based on a context of travel

A technique is disclosed for presenting possible check-in venues to a mobile device user, such as for the purpose of checking in with social networking services such as Foursquare. The disclosed technique operates by training a model during an initial training sequence. The trained model, representing a learned hypothesis, describes venues that are ranked according to their relevance to users who are also described by the model. During a subsequent run-time sequence, the system receives real-time geolocation data that represents users, wherein the data includes user geolocation and the level of accuracy of the geolocation. The system generates a set of candidate venues, ranks the generated candidate venues by applying the learned hypothesis, which can be dependent on the level of accuracy, and presents the user with the ranked venues as possible check-in venues. The user can then select the venue actually being checked into from the presented check-in venues.

A cushion-like, shock-absorbent insole for footwear comprises two vinyl sheets forming an airtight compartment and sealing therein one or more sheets of resilient foam. Vent holes arranged in at least one of the vinyl sheets, preferably at the heel and metatarsal areas, act as metering valves in conjunction with the inside surface of the shoe sole so that air trapped in the foam material cannot instantaneously escape and both cushioning and massaging are provided.

Air-trapping insoles

A heat insulation panel is adapted to be mounted in a window frame and includes a pair of spaced substantially flat face sheets connected by a plurality of connector strips extending therebetween. The peripheral edge of the panel is sealed by a gusset strip in air tight relation. The gusset strip has a firmer hand than the face sheets and is approximately 25% heavier in gauge so that upon inflation the edge of the panel remains substantially flat in order to form a broad substantially air tight seal with the periphery of a window frame in which the panel is inserted. The gusset edge also can cooperate with the edge of an adjacent panel to form a substantially air tight seal therebetween.

Window insulating device

A roofing tile having upper and lower ends and upper and lower surfaces, a transverse groove of substantially semicircular cross section in the upper surface of the roofing tile adjacent its upper end, and a transverse groove of substantially semicircular cross section in the lower surface of the roofing tile adjacent its lower end. A solar water heating system incorporated in a roof comprising roofing tiles having overlapping portions provided with registering transverse grooves of substantially semicircular cross section facing each other, with thermally conductive tubes in the registering grooves. A roofing tile which is a clay tile containing a thermally conductive material, with at least the exposed portion of the upper surface having a permanent black coating to enhance solar heat absorption.

Growing community of inventors

New York, NY, United States of America

David Rosenberg