FACILITATING THE SHARING OF RELEVANT CONTENT
    84.
    发明申请

    公开(公告)号:US20180052865A1

    公开(公告)日:2018-02-22

    申请号:US15799101

    申请日:2017-10-31

    Abstract: A method, system and computer program product for sharing content of interest. Copy actions of content (e.g., photos, text) by users from various sources (e.g., documents, files) are monitored and detected. Users having copied content that are within a threshold degree of similarity are identified. A group consisting of these identified users is then formed. Copy actions of content from the users of the formed group are then monitored. If content copied by a user of the formed group is within a threshold degree of similarity to the content previously copied by one or more other users of the formed group, then a recommendation is made to the user who performed the copy action to share the copied content to the formed group. In this manner, content of interest (relevant content) is shared to those users without requiring those users to actively discover such content of interest.

    Intelligently splitting text in messages posted on social media website to be more readable and understandable for user

    公开(公告)号:US09887952B2

    公开(公告)日:2018-02-06

    申请号:US14333706

    申请日:2014-07-17

    CPC classification number: H04L51/32 H04L51/16 H04W4/14

    Abstract: A method, system and computer program product for improving readability and understandability in messages posted on a social media website. The messages posted on a social media website, such as the user's social networking feed, are scanned. The scanned messages are analyzed for topics, meaning and/or tenses using natural language processing. The text in the scanned messages are split into message segments based on topic, meaning, tenses, punctuation, custom identifiers, hashtags and/or @ symbols. These message segments are then grouped based on relatedness of the topics, meaning and/or tenses. The message segments are ordered in each group of message segments, such as based on timestamps. The ordered message segments are then displayed to the user. By displaying these message segments in separate groupings in a logical order, the user will be able to view the messages posted on the user's social media website in a more readable and understandable manner.

    Cognitive dialog system for driving safety

    公开(公告)号:US09878663B1

    公开(公告)日:2018-01-30

    申请号:US15372137

    申请日:2016-12-07

    CPC classification number: B60W40/08 B60W2040/0818

    Abstract: The system gathers a current set of biometric data for a driver of a vehicle from an Internet of Things (IoT) device during a driving phase. The system gathers a set of external factor data from a cloud resource during the driving phase. The system adjusts a threshold value for a first threshold between a normal biometric condition and a first abnormal biometric condition for the driver for a first biometric parameter according to the set of external factor data. The system determines whether the gathered biometric data of the driver is consistent with the normal biometric condition or the first abnormal biometric condition according to the adjusted first threshold value. If the gathered biometric data is consistent with the first abnormal biometric condition, the system performs a selected one of a set of actions to alleviate the first abnormal biometric condition.

    CREDIBILITY ENHANCEMENT FOR ONLINE COMMENTS AND RECOMMENDATIONS

    公开(公告)号:US20170249687A1

    公开(公告)日:2017-08-31

    申请号:US15601747

    申请日:2017-05-22

    Abstract: One embodiment provides a method for determining credibility of a user in recommending an object. The method comprises monitoring activity relating to an object in an online network, and determining a baseline of activity for the object based on the activity monitored. In response to detecting a user interaction by a first user with the object, information relating to the user interaction is recorded. An analysis of the information recorded is performed in view of information relating to one or more other user interactions by one or more other users with the object. Based on the analysis, a credibility score for the first user is determined. The credibility score represents a degree of confidence in reliability of the first user to recommend the object. Presentation of user recommendations for objects is controlled based on credibility scores to decrease impact of astroturfing, crowdturfing and spamming on the presentation.

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