Abstract:
Systems and methods for distributing shared electronic coupons are provided. According to one aspect, the electronic coupon may include a coupon benefit display region displaying a textual and/or graphical representation of a coupon benefit. The electronic coupon may further include a candidate display region displaying a list of one or more friends of user who are determined to be redeemer candidates from among friends in a social network profile or address book of the user. Each redeemer candidate friend in the list has an associated selector, and selection by the user of a selector corresponding to a friend causes the client device to send a message to a coupon server to instruct the coupon server to send the electronic coupon to a client device of the selected friend. Predictive models generated through machine learning may aid in selecting the user to which coupons are distributed and the redeemer candidates.
Abstract:
Embodiments related to selecting advertisements for display to targeted viewers are disclosed. In one example embodiment, an advertisement is selected by, for each of a plurality of advertisements, aggregating a plurality of emotional response profiles from a corresponding plurality of prior viewers of the advertisement to form an aggregated emotional response profile for the advertisement, wherein each of the emotional response profiles comprises a temporal record of a prior viewer's emotional response to the advertisement. The method further includes identifying a group of potentially positively correlated viewers for the targeted viewer, filtering the aggregated emotional response profiles based on the group of potentially positively correlated viewers, selecting a particular advertisement from the plurality of advertisements based on a correlation of the filtered aggregated emotional response profiles, and sending the particular advertisement for display to the targeted viewer.
Abstract:
Embodiments related to delivering a video stream to a requesting viewer are disclosed. In one example embodiment, a video stream is delivered by receiving a request for the video stream from a requesting device, the request including the requesting viewer's identity, assembling a list of selected video content items for display to the requesting viewer, the selected video items being selected from a plurality of video items based on the identity of the requesting viewer and a viewing interest profile comprising the requesting viewer's viewing interests, and sending the video stream for display, the video stream including one or more of the selected video items.
Abstract:
Embodiments related to identifying and displaying portions of video content taken from longer video content are disclosed. In one example embodiment, a portion of a video item is provided by receiving, for a video item, an emotional response profile for each viewer of a plurality of viewers, each emotional response profile comprising a temporal correlation of a particular viewer's emotional response to the video item when viewed by the particular viewer. The method further comprises selecting, using the emotional response profiles, a first portion of the video item judged to be more emotionally stimulating than a second portion of the video item, and sending the first portion of the video item to another computing device in response to a request for the first portion of the video item without sending the second portion of the video item.
Abstract:
A computing system and method for managing an identity of a user are provided. A server may be configured to communicate with each of a plurality of client devices in corresponding request and response streams. An inference engine is configured to monitor the streams for identifying factors distinguishing each of the plurality of client devices from other of the plurality of client devices. Upon detecting one or more of the identifying factors for each of two or more client devices that match within a threshold probability, the inference engine makes an inference that two or more of the plurality of client devices are used by the user. Based upon the inference, the inference engine creates a virtual identity record at the server linking the two or more client devices.