Abstract: A system includes a processing device configured to execute instructions including accessing messages sent by a first user and other users. The instructions include identifying a first subset of messages that were sent by the first user and identifying a second subset of messages that are related to a first topic and were sent by the first user. The instructions include determining an authority value based on counts of the first and second subsets. The instructions include identifying a third subset of messages that resulted from the other users forwarding the second subset. The instructions include determining a power value based on a count of users that sent the third subset and computing an impact score for the first user on the first topic based on the authority and power values. The instructions include, based on the impact score, contacting the first user in relation to the first topic.

Abstract: A light-emitting device and a manufacturing method thereof are provided. The light-emitting device includes a substrate, an epitaxial blocking layer, and a light-emitting epitaxial structure. The substrate has a surface, in which the surface includes a plurality of protruding parts and a plurality of recess parts relative to the protruding parts. The epitaxial blocking layer disposed on the substrate covers the recess parts and exposes the protruding parts. The light-emitting epitaxial structure disposed on the substrate is connected to the protruding parts and is disposed above the recess parts. The light-emitting epitaxial structure is formed by using the protruding parts as a growth surface thereof so as to have a better crystalline quality.

Abstract: Training risk determination models based on a set of labeled data transactions. A first set of labeled data transactions that have been labeled during a review process is accessed. A first risk determination model is trained using the first set of labeled data transactions. A first risk score for data transactions of a set of unlabeled data transactions is determined using the first risk determination model. Data transactions in the set of unlabeled data transactions are newly labeled based on the first risk score. The newly labeled data transactions are added to a second set of labeled data transactions that include the first set of labeled data transactions. A second risk determination model is trained using at least the second set of labeled data transactions. A second risk score is determined for subsequently received data transactions and these data transactions are rejected or approved based on the second risk score.

Abstract: Embodiments disclosed herein are related to computing systems and methods for detecting anomalies in a distribution of one or more attributes associated with data transactions. In the embodiments, data transactions are accessed that each include various attributes. The data transactions are grouped into a first subset associated with a first sub-type of a first attribute and a second subset including any remaining sub-types of the first attribute. Second attributes in the first and second subsets are compared to determine differences in the proportion of the second attributes between the first and second subsets, where the differences are indicative of an anomaly in an expected distribution of the second attributes. Based at least on a determination that there are differences in the proportion, subsequently accessed data transactions that are associated with attributes similar to the data transactions of the first subset are rejected or subjected to a further review process.

Abstract: A system includes a memory storing a dataset representing a community of users of a social networking service, the social networking service providing a platform enabling a user within the community to communicate with at least one of a plurality of other users within the community. The system includes a processor coupled to the memory, the processor configured to determine a ranking of the service users in the dataset based on an initial influence score for at least one of the users. The processor is also configured to determine a contribution to a first user within the community by at least one second user of the plurality of other users within the community, and calculate an influence score for the first user. The ranking is revised based at least in part on the calculated influence score, and information is rendered to a target user based on the revised ranking.

Abstract: A system includes a processing device configured to execute instructions including accessing messages sent by a first user and other users. The instructions include identifying a first subset of messages that were sent by the first user and identifying a second subset of messages that are related to a first topic and were sent by the first user. The instructions include determining an authority value based on counts of the first and second subsets. The instructions include identifying a third subset of messages that resulted from the other users forwarding the second subset. The instructions include determining a power value based on a count of users that sent the third subset and computing an impact score for the first user on the first topic based on the authority and power values. The instructions include, based on the impact score, contacting the first user in relation to the first topic.

Abstract: A canopy clustering process merges at least one set of multiple single-center canopies together into a merged multi-center canopy. Multi-center canopies, as well as the single-center canopies, can then be used to partition data objects in a dataset. The multi-center canopies allow a canopy assignment condition constraint to be relaxed without risk of leaving any data objects in a dataset outside of all canopies. Approximate distance calculations can be used as similarity metrics to define and merge canopies and to assign data objects to canopies. In one implementation, a distance between a data object and a canopy is represented as the minimum of the distances between the data object and each center of a canopy (whether merged or unmerged), and the distance between two canopies is represented as the minimum of the distances for each pairing of the center(s) in one canopy and the center(s) in the other canopy.

Abstract: This patent relates to a system for identifying influential users of a social network platform. The system may access records of messages sent or received by a plurality of users. The system can determine a power of a user to reach other users based at least in part on the messages. The system can determine an authority of the user on a topic. The system can also compute an impact score that reflects both the power and the authority of the user on the topic. Such scores may be used to select users based on impact as part of social trend analysis, marketing or other functions.

Abstract: An LED manufacturing method includes steps of: providing a substrate including a first surface; forming a first portion of a first semiconductor layer on the first surface in a first atmosphere including a first carrier gas; and forming a second portion of the first semiconductor layer on the first portion in a second atmosphere including a second carrier gas; wherein a plurality of first cavities is formed on a surface of the first portion during forming the first portion; and wherein the plurality of first cavities is transformed to a plurality of second cavities during forming the second portion, and one of the second cavities includes a first inclined surface and a second inclined surface above the first inclined surface.

Abstract: An exposure value adjustment apparatus, method, and non-transitory tangible machine-readable medium thereof are provided. The exposure value adjustment apparatus includes a camera module and a processor. The camera module captures a reference image by a base exposure value. The processor generates a histogram of the reference image, divides the histogram into a low partial histogram, a middle partial histogram, and a high partial histogram by a first threshold and a second threshold, decides a high exposure value according to the low partial histogram and the middle partial histogram, decides a low exposure value according to the high partial histogram and the middle partial histogram, and decides a middle exposure value according to the high exposure value and the low exposure value. The low exposure value is lower than the high exposure value, and the middle exposure value is between the high exposure value and the low exposure value.

Abstract: Electronic apparatuses and adjustment methods thereof are provided. The electronic apparatus includes an input interface and a processor. The input interface is configured to receive a reference frame, wherein the reference frame corresponds to a plurality of luminance values. The processor is electrically connected to the input interface and configured to adjust at least a portion of the luminance values that are greater than a predetermined threshold, calculate a weighted luminance value of the reference frame according to the luminance values, generate a comparison result by comparing the weighted luminance value and a luminance target, and decide the luminance values according to the comparison result.

Abstract: Electronic apparatuses and adjustment methods thereof are provided. The electronic apparatus includes a camera module and a processor. The camera module is enabled into an HDR mode and captures a reference frame according to a first exposure setting, wherein the reference frame corresponds to a plurality of luminance values. The processor calculates a weighted luminance value of the reference frame according to the luminance values, generates a comparison result by comparing the weighted luminance value and a luminance target of the HDR mode, and decides a second exposure setting according to the comparison result.

Abstract: A system for identifying influential users of a social network platform. The system may compute a score for each of multiple users. Such a score may be topic-based, leading to a more accurate identification of influential users. Such a topic-based score may indicate authority and/or impact of a user with respect to a topic. The impact may be computed based on authority combined with other factors, such as power of the user. The authority score may be simply computed, in whole or in part, directly from a tweet log without, for example creating a retweet graph. As a result, the scores may be computed, using MapReduce primitives or other constructs that allow the computations to be distributed across multiple parallel processors. Such scores may be used to select users based on impact as part of social trend analysis, marketing or other functions.

Abstract: A system includes a memory storing a dataset representing a community of users of a social networking service, the social networking service providing a platform enabling a user within the community to communicate with at least one of a plurality of other users within the community. The system includes a processor coupled to the memory, the processor configured to determine a ranking of the service users in the dataset based on an initial influence score for at least one of the users. The processor is also configured to determine a contribution to a first user within the community by at least one second user of the plurality of other users within the community, and calculate an influence score for the first user. The ranking is revised based at least in part on the calculated influence score, and information is rendered to a target user based on the revised ranking.

Abstract: A system for identifying influential users of a social network platform. The system may compute a score for each of multiple users. Such a score may be topic-based, leading to a more accurate identification of influential users. Such a topic-based score may indicate authority and/or impact of a user with respect to a topic. The impact may be computed based on authority combined with other factors, such as power of the user. The authority score may be simply computed, in whole or in part, directly from a tweet log without, for example creating a retweet graph. As a result, the scores may be computed, using MapReduce primitives or other constructs that allow the computations to be distributed across multiple parallel processors. Such scores may be used to select users based on impact as part of social trend analysis, marketing or other functions.

Abstract: An LED manufacturing method includes steps of: providing a substrate including a first surface; forming a first portion of a first semiconductor layer on the first surface in a first atmosphere including a first carrier gas; and forming a second portion of the first semiconductor layer on the first portion in a second atmosphere including a second carrier gas; wherein a plurality of first cavities is formed on a surface of the first portion during forming the first portion; and wherein the plurality of first cavities is transformed to a plurality of second cavities during forming the second portion, and one of the second cavities includes a first inclined surface and a second inclined surface above the first inclined surface.

Abstract: Technologies pertaining to computing a metric that is indicative of whether an n-gram in a large corpus of text is a collocation are described herein. The metric is computed in connection with a distributed computing framework, wherein n-grams of varying lengths can be analyzed in a single input data pass, and wherein secondary sorting functionality of the distributed computing framework need not be invoked.

Abstract: Techniques for identifying influential users of a social networking service are provided. Influential users may be identified via an algorithm in which an influence score is assigned to each user based at least in part on other members of the community users having taken an affirmative step with respect to the user's communications. Iterative processing may be performed, with each user's influence score being determined by contributions from other users, and each contribution being determined by the contributor's influence score as of a prior iteration. A map-reduce framework may be employed, with data representing the community being partitioned into a plurality of discrete shards, a map process corresponding to each shard calculating an influence score for users represented in the shard, and reduce processes ranking users according to influence score across all shards.

Abstract: Electronic apparatuses and adjustment methods thereof are provided. The electronic apparatus includes an input interface and a processor. The input interface is configured to receive a reference frame, wherein the reference frame corresponds to a plurality of luminance values. The processor is electrically connected to the input interface and configured to adjust at least a portion of the luminance values that are greater than a predetermined threshold, calculate a weighted luminance value of the reference frame according to the luminance values, generate a comparison result by comparing the weighted luminance value and a luminance target, and decide the luminance values according to the comparison result.

Abstract: Electronic apparatuses and adjustment methods thereof are provided. The electronic apparatus includes a camera module and a processor. The camera module is enabled into an HDR mode and captures a reference frame according to a first exposure setting, wherein the reference frame corresponds to a plurality of luminance values. The processor calculates a weighted luminance value of the reference frame according to the luminance values, generates a comparison result by comparing the weighted luminance value and a luminance target of the HDR mode, and decides a second exposure setting according to the comparison result.