Abstract: In an approach for aggregating interests across a social network to influence search results by a user, a processor retrieves a set of product documents given a rating by social network connections of a user within a social network. A processor categorizes each product document of the set of product documents such that there is at least a first product category. A processor receives a search request for a product from the user. A processor determines that the product of the search request corresponds to the first product category. A processor presents a search result product based on ratings of product documents of the first product category.

Abstract: A method and associated system. A user interest rating for a downloadable item stored outside a user device is computed, which includes: maintaining a user profile of a user's preference for types of items that include the downloadable item, identifying one or more characteristics of the downloadable item, and predicting a likely level of user interest for the downloadable item based on the identified characteristics of the downloadable item and the user profile. A data impact rating for the downloadable item is computed, which includes identifying parameters. A download decision, of whether to download the downloadable item, is computed in dependence on the user interest rating for the downloadable item and the data impact rating for the downloadable item.

Abstract: In an approach for providing a product recommendation, a processor identifies an image as trending, based on the image exceeding a threshold frequency of occurrence on at least one media platform. A processor analyzes the image to identify a set of one or more elements within the image, wherein at least one element is a product. A processor determines one or more interests of a user. A processor determines that the product is relevant to the user based on the one or more interests of the user corresponding, within a predetermined threshold, to an element of the set of one or more elements within the image. A processor sends a notification that includes at least the product.

Abstract: A method for recommending products. The method may include receiving an identification element associated with an image or a visual code captured by a user. The method may include identifying a first item associated with the identification element, whereby the first item is a product or a service. The method may include identifying at least one of a tag and a keyword associated with the first item. The method may include identifying social media interactions within a social media network that reference at least one of the first item, the tag, and the keyword, whereby the social media network is associated with the user. The method may further include identifying a second item referenced in the social media interactions, whereby the second item is a product or a service. The method may also include determining a score for the second item based on an algorithm.

Abstract: A method for recommending products. The method may include receiving an identification element associated with an image or a visual code captured by a user. The method may include identifying a first item associated with the identification element, whereby the first item is a product or a service. The method may include identifying at least one of a tag and a keyword associated with the first item. The method may include identifying social media interactions within a social media network that reference at least one of the first item, the tag, and the keyword, whereby the social media network is associated with the user. The method may further include identifying a second item referenced in the social media interactions, whereby the second item is a product or a service. The method may also include determining a score for the second item based on an algorithm.

Abstract: A method for recommending products. The method may include receiving an identification element associated with an image or a visual code captured by a user. The method may include identifying a first item associated with the identification element, whereby the first item is a product or a service. The method may include identifying at least one of a tag and a keyword associated with the first item. The method may include identifying social media interactions within a social media network that reference at least one of the first item, the tag, and the keyword, whereby the social media network is associated with the user. The method may further include identifying a second item referenced in the social media interactions, whereby the second item is a product or a service. The method may also include determining a score for the second item based on an algorithm.

Abstract: Using social media feeds to determine infrastructure and personal resolutions to high traffic events.

Abstract: A method for recommending products. The method may include receiving an identification element associated with an image or a visual code captured by a user. The method may include identifying a first item associated with the identification element, whereby the first item is a product or a service. The method may include identifying at least one of a tag and a keyword associated with the first item. The method may include identifying social media interactions within a social media network that reference at least one of the first item, the tag, and the keyword, whereby the social media network is associated with the user. The method may further include identifying a second item referenced in the social media interactions, whereby the second item is a product or a service. The method may also include determining a score for the second item based on an algorithm.

Abstract: A method for recommending products. The method may include receiving an identification element associated with an image or a visual code captured by a user. The method may include identifying a first item associated with the identification element, whereby the first item is a product or a service. The method may include identifying at least one of a tag and a keyword associated with the first item. The method may include identifying social media interactions within a social media network that reference at least one of the first item, the tag, and the keyword, whereby the social media network is associated with the user. The method may further include identifying a second item referenced in the social media interactions, whereby the second item is a product or a service. The method may also include determining a score for the second item based on an algorithm.

Abstract: Embodiments of the present invention provide time-efficient and effective systems and methods for enabling near field communications (NFC) on electronic devices using one or more indicators. Embodiments of the present invention provide systems and methods that capture and utilize indicators such as, motion of the electronic device or of a user, electromagnetic wave signals, and audio signals to more easily establish an NFC link between a source computer system and a target computer system.

Abstract: According to the embodiments described herein, an industrial vehicle can include a camera and one or more processors. The camera can capture an input image of ceiling lights of the ceiling of the warehouse. The one or more processors can execute machine readable instructions to detect transversal edges from the ceiling lights of the input image. The machine readable instructions executed by the one or more processors can determine points of convergence between the transversal edges and a first edge line and a second edge line. The machine readable instructions executed by the one or more processors can select a set of point fixes from the points of convergence. The machine readable instructions executed by the one or more processors can navigate the industrial vehicle through the warehouse utilizing the centerline and the set of point fixes.

Abstract: According to the embodiments described herein, an industrial vehicle can include a camera and one or more processors. The camera can capture an input image of ceiling lights of the ceiling of the warehouse. The one or more processors can execute machine readable instructions to detect transversal edges from the ceiling lights of the input image. The machine readable instructions executed by the one or more processors can determine points of convergence between the transversal edges and a first edge line and a second edge line. The machine readable instructions executed by the one or more processors can select a set of point fixes from the points of convergence. The machine readable instructions executed by the one or more processors can navigate the industrial vehicle through the warehouse utilizing the centerline and the set of point fixes.

Abstract: An exercise apparatus comprises first and second arm cuffs and a central elastic member. The first and second arm cuffs are configured to encircle right and left arms, respectively, of an exerciser. Each arm cuff is configured to encircle an elbow of the arm, a portion of an upper arm of the arm, and a portion of a lower arm of the arm. The first and second arm cuffs are attached to opposite sides in a longitudinal direction of the central elastic member. The central elastic member has a substantially rectangular shape and has a length sufficient to extend across a chest of the exerciser and for the first and second arm cuffs to encircle the right and left arms, respectively, of the exerciser.

Abstract: According to the embodiments described herein, a method for environmental based localization may include capturing an input image of a ceiling comprising a plurality of skylights. Features can be extracted from the input image. The features can be grouped into a plurality of feature groups such that each of the feature groups is associated with one of the skylights. Line segments can be extracted from the features of each feature group, automatically, with one or more processors executing a feature extraction algorithm on each feature group separately. At least two selected lines of the line segments of each feature groups can be selected. A centerline for each of the feature groups can be determined based at least in part upon the two selected lines. The center line of each of the feature groups can be associated with one of the skylights.

Abstract: An approach is provided for adjusting a characteristic of a data stream. A rate of data usage provided by one or more data streams within a time period that has not ended is determined. An amount of time remaining in the time period is determined. Based at least in part on the amount of time remaining in the time period and the rate of data usage, an expected amount of data usage within the entire time period is determined. Whether the expected amount of data usage exceeds a limit on data usage within the entire time period is determined. If the expected amount of data usage exceeds the limit, the characteristic of the data stream is adjusted so that actual data usage within the entire time period does not exceed the limit. The actual data usage is based in part on the adjusted characteristic.

Abstract: According to the embodiments described herein, an industrial vehicle can include a camera and one or more processors. The camera can capture an input image of ceiling lights of the ceiling of the warehouse. The one or more processors can execute machine readable instructions to detect transversal edges from the ceiling lights of the input image. The machine readable instructions executed by the one or more processors can determine points of convergence between the transversal edges and a first edge line and a second edge line. The machine readable instructions executed by the one or more processors can select a set of point fixes from the points of convergence. The machine readable instructions executed by the one or more processors can navigate the industrial vehicle through the warehouse utilizing the centerline and the set of point fixes.

Abstract: According to the embodiments described herein, a method for environmental based localization may include capturing an input image of a ceiling comprising a plurality of skylights. Features can be extracted from the input image. The features can be grouped into a plurality of feature groups such that each of the feature groups is associated with one of the skylights. Line segments can be extracted from the features of each feature group, automatically, with one or more processors executing a feature extraction algorithm on each feature group separately. At least two selected lines of the line segments of each feature groups can be selected. A centerline for each of the feature groups can be determined based at least in part upon the two selected lines. The center line of each of the feature groups can be associated with one of the skylights.

Abstract: According to the embodiments described herein, a method for environmental based localization may include capturing an input image of a ceiling comprising a plurality of skylights. Features can be extracted from the input image. The features can be grouped into a plurality of feature groups such that each of the feature groups is associated with one of the skylights. Line segments can be extracted from the features of each feature group, automatically, with one or more processors executing a feature extraction algorithm on each feature group separately. At least two selected lines of the line segments of each feature groups can be selected. A centerline for each of the feature groups can be determined based at least in part upon the two selected lines. The center line of each of the feature groups can be associated with one of the skylights.

Abstract: A method for managing media streams including at least video data and audio data in a multi-party video conference involving one or more groups of one or more nodes respectively receiving a media stream from each of a plurality of associated endpoints is provided. In each of the one or more nodes of each of the one or more groups, the loudest audio of the media streams received from the respective plurality of associated endpoints is determined. An indication of the volume of the determined loudest audio and an identification of the node is transmitted to a decision maker. The highest received volume and the associated identification is determined. The node of the identification is instructed to transmit the received media stream of the endpoint to one of: all nodes in the one or more groups and to a proxy.

Abstract: Devices for changing a light bulb (e.g., a compact fluorescent lamp or CFL), especially for those installed in high places, are disclosed. The device has a cylindrical tubular structure with one end opening to accommodate a light bulb. In one embodiment, at least one flexible thin arm with one end shaped to form a hook is pivotably affixed to the tubular structure. In another embodiment, a shaped insert is disposed in the tubular structure to provide necessary friction force to hold the light bulb in place during the changing process. The present invention is suitable for changing various types of CFLs.