Abstract: Systems and methods are provided for generating a plurality of applications of disparate types. A graphical user interface is provided for designing an interactive user experience, where a designed user experience includes an arrangement of experience elements, where the experience elements include a plurality interactive elements and decorative elements, and where each of the experience elements are configured for display according to one or more attributes. An identification of the experience elements and the attributes of the experience elements is received via the graphical user interface. An identification of a plurality of disparate types of applications to be generated based on the designed experience is received. The experience is translated for each of the disparate types of applications to generate the plurality of applications of disparate types.

Abstract: Computer-implemented systems and methods are provided for defining ad space in a video. For example, a computer can receive an identification of a video and an advertisement space definition that includes a time stamp for the advertisement space in the video and an advertisement length. The computer can receive a request to view the video. The computer can determine an advertisement to play in the advertisement space such that the advertisement is not longer than the advertisement length included in the video's advertisement space definition. The computer can provide access to the video, and when the video reaches the time stamp, the advertisement is played in the advertisement space.

Abstract: Systems and methods are provided for identifying an influencer from a pool of people based on past interactions with one or more items. A popularity metric is determined for a particular item, and an earliness of interaction metric is determined for a person in the pool based on an interaction with the particular item by the person. A prescience metric is calculated for the person based on the popularity metric and the earliness of interaction metric for the person, and the influencer is identified based on the prescience metric for the person and prescience metrics calculated for other people in the pool.

Abstract: Computer-implemented systems and methods are provided for identifying language that would be considered obscene or otherwise offensive to a user or proprietor of a system. A first plurality of offensive words are received, and a second plurality of offensive words are received. A string of words are received, where one or more detected offensive words are selected from the string of words that matches words from the first plurality of offensive words or the second plurality of offensive words. The string of words is processed based upon the detection of offensive words in the string of words.

Abstract: Computer-implemented systems and methods for determining second content which was not selected by the user but which is related to first content which was selected by the user. For example, a system and method can be configured to receive, using one or more processors, first and second content where the first and second content are rich media (e.g., content containing audio or video elements). Systems and methods may be further configured where the relationship between the first content and second content are determined based on data or metadata of the first content (e.g., the title of the content or an episode number). Systems and methods may be further configured where the relationship between the first content and second content are determined based on scheduling data of the first content (e.g., the time and channel when the first content is transmitted).

Abstract: Computer-implemented systems and methods are provided for identifying language that would be considered obscene or otherwise offensive to a user or proprietor of a system. A first plurality of offensive words are received, and a second plurality of offensive words are received. A string of words are received, where one or more detected offensive words are selected from the string of words that matches words from the first plurality of offensive words or the second plurality of offensive words. The string of words is processed based upon the detection of offensive words in the string of words.

Abstract: Systems and methods are provided for generating a plurality of applications of disparate types. A graphical user interface is provided for designing an interactive user experience, where a designed user experience includes an arrangement of experience elements, where the experience elements include a plurality interactive elements and decorative elements, and where each of the experience elements are configured for display according to one or more attributes. An identification of the experience elements and the attributes of the experience elements is received via the graphical user interface. An identification of a plurality of disparate types of applications to be generated based on the designed experience is received. The experience is translated for each of the disparate types of applications to generate the plurality of applications of disparate types.

Abstract: Computer-implemented systems and methods are provided for identifying language that would be considered obscene or otherwise offensive to a user or proprietor of a system. A plurality of offensive words are received, where each offensive word is associated with a severity score identifying the offensiveness of that word. A string of words is received. A distance between a candidate word and each offensive word in the plurality of offensive words is calculated, and a plurality of offensiveness scores for the candidate word are calculated, each offensiveness score based on the calculated distance between the candidate word and the offensive word and the severity score of the offensive word. A determination is made as to whether the candidate word is an offender word, where the candidate word is deemed to be an offender word when the highest offensiveness score in the plurality of offensiveness scores exceeds an offensiveness threshold value.

Abstract: Computer-implemented systems and methods are provided for identifying language that would be considered obscene or otherwise offensive to a user or proprietor of a system. A plurality of offensive words are received, where each offensive word is associated with a severity score identifying the offensiveness of that word. A string of words is received. A distance between a candidate word and each offensive word in the plurality of offensive words is calculated, and a plurality of offensiveness scores for the candidate word are calculated, each offensiveness score based on the calculated distance between the candidate word and the offensive word and the severity score of the offensive word. A determination is made as to whether the candidate word is an offender word, where the candidate word is deemed to be an offender word when the highest offensiveness score in the plurality of offensiveness scores exceeds an offensiveness threshold value.