Abstract: Systems and methods are described for customizing a display of media asset information based on a user preference profile. In particular, media asset description information is customized by changing a term to a synonym that matches an event or keyword in the user preference profile.

Abstract: A media guidance application may monitor a conversation among users, and identify keywords in the conversation, without the use of wakewords. The keywords are used to search for media content that is relevant to the on-going conversation. Accordingly, the media guidance application presents relevant content to the users, during the conversation, to more actively engage the users. A conversation monitoring window may be used to present conversation information as well as relevant content. A listening mode may be used to manage when the media guidance application processes speech from a conversation. The media guidance application may access user profiles for keywords, select content types, select content sources, and determine relevancy of media content, to provide content in context of a conversation.

Abstract: A media guidance application may monitor a conversation among users, and identify keywords in the conversation, without the use of wakewords. The keywords are used to search for media content that is relevant to the on-going conversation. Accordingly, the media guidance application presents relevant content to the users, during the conversation, to more actively engage the users. A conversation monitoring window may be used to present conversation information as well as relevant content. A listening mode may be used to manage when the media guidance application processes speech from a conversation. The media guidance application may access user profiles for keywords, select content types, select content sources, and determine relevancy of media content, to provide content in context of a conversation.

Abstract: Systems and methods are described for customizing a display of media asset information based on a user preference profile. In particular, media asset description information is customized by changing a term to a synonym that matches an event or keyword in the user preference profile.

Abstract: Systems and methods are disclosed for evaluating promotional campaigns. The system estimates a target conversion rate for an advertising campaign for a media asset and determines an actual conversion rate for the advertising campaign. The system, in response to determining that the target conversion rate and the actual conversion rate are similar, determines a target demographic audience for the target conversion rate. The system determines a primary demographic audience for the actual conversion rate and compares a first characteristic of the target demographic audience and a second characteristic of the primary demographic audience. Responsive to the determination that the target demographic audience and the primary demographic audience are different, the system generates for display a notification indicating that the target demographic audience and the primary demographic audience are different.

Abstract: Systems and methods are described for customizing a display of media asset information based on a user preference profile. In particular, media asset description information is customized by changing a term to a synonym that matches an event or keyword in the user preference profile.

Abstract: A media guidance application may monitor a conversation among users, and identify keywords in the conversation, without the use of wakewords. The keywords are used to search for media content that is relevant to the on-going conversation. Accordingly, the media guidance application presents relevant content to the users, during the conversation, to more actively engage the users. A conversation monitoring window may be used to present conversation information as well as relevant content. A listening mode may be used to manage when the media guidance application processes speech from a conversation. The media guidance application may access user profiles for keywords, select content types, select content sources, and determine relevancy of media content, to provide content in context of a conversation.

Abstract: A media guidance application may monitor a conversation among users, and identify keywords in the conversation, without the use of wakewords. The keywords are used to search for media content that is relevant to the on-going conversation. Accordingly, the media guidance application presents relevant content to the users, during the conversation, to more actively engage the users. A conversation monitoring window may be used to present conversation information as well as relevant content. A listening mode may be used to manage when the media guidance application processes speech from a conversation. The media guidance application may access user profiles for keywords, select content types, select content sources, and determine relevancy of media content, to provide content in context of a conversation.

Abstract: Systems and methods are described for customizing a display of media asset information based on a user preference profile. In particular, media asset description information is customized by changing a term to a synonym that matches an event or keyword in the user preference profile.

Abstract: Systems and methods are described for customizing a display of media asset information based on a user preference profile. In particular, media asset description information is customized by changing a term to a synonym that matches an event or keyword in the user preference profile.

Abstract: The disclosure relates to a system that detects customers traveling to a merchant site, predicts products they are interested in purchasing at that merchant site, and collects those products at the merchant site for purchase before the customer arrives. Prediction of products is accomplished by comparing a consumer profile to the products carried at the merchant site. Matching products are transmitted to the merchant site, which then collects the products together as a completed order for the consumer to simply pick up as soon as he or she enters the store. In this manner, customers receive the products they likely want without having to spend the time and effort of manually collecting each product themselves.

Abstract: A media guidance application may indicate popular content by applying a visual attribute to a display of content listings. A media guidance application may generate for display media asset listings in a list. The media guidance application may determine a popular first media asset listing of the media asset listings. The media guidance application may identify a second media asset listing of the media asset listings based on a cursor position. The media guidance application may determine a proximity metric based on a position of the first media asset listing in the list relative to a position of the cursor. The media guidance application may select a visual attribute for the cursor based at least in part on the proximity metric and how popular the popular first listing is. A visual attribute may include, for example, a color.

Abstract: Systems and methods are disclosed for evaluating promotional campaigns. The system estimates a target conversion rate for an advertising campaign for a media asset and determines an actual conversion rate for the advertising campaign. The system, in response to determining that the target conversion rate and the actual conversion rate are similar, determines a target demographic audience for the target conversion rate. The system determines a primary demographic audience for the actual conversion rate and compares a first characteristic of the target demographic audience and a second characteristic of the primary demographic audience. Responsive to the determination that the target demographic audience and the primary demographic audience are different, the system generates for display a notification indicating that the target demographic audience and the primary demographic audience are different.

Abstract: A media guidance application may monitor a conversation among users, and identify keywords in the conversation, without the use of wakewords. The keywords are used to search for media content that is relevant to the on-going conversation. Accordingly, the media guidance application presents relevant content to the users, during the conversation, to more actively engage the users. A conversation monitoring window may be used to present conversation information as well as relevant content. A listening mode may be used to manage when the media guidance application processes speech from a conversation. The media guidance application may access user profiles for keywords, select content types, select content sources, and determine relevancy of media content, to provide content in context of a conversation.

Abstract: A media guidance application may indicate popular content by applying a visual attribute to a display of content listings. A media guidance application may generate for display media asset listings in a list. The media guidance application may determine a popular first media asset listing of the media asset listings. The media guidance application may identify a second media asset listing of the media asset listings based on a cursor position. The media guidance application may determine a proximity metric based on a position of the first media asset listing in the list relative to a position of the cursor. The media guidance application may select a visual attribute for the cursor based at least in part on the proximity metric and how popular the popular first listing is. A visual attribute may include, for example, a color.

Abstract: Systems and methods are described for customizing a display of media asset information based on a user preference profile. In particular, media asset description information is customized by changing a term to a synonym that matches an event or keyword in the user preference profile.

Abstract: Systems and methods are described for customizing a display of media asset information based on a user preference profile. In particular, media asset description information is customized by changing a term to a synonym that matches an event or keyword in the user preference profile.

Abstract: Methods and systems for determining advertisement placements are described herein. The method includes retrieving a matrix of access time values, wherein each row is associated with a respective user, each column is associated with a respective media asset, and each access time value represents a length of time for which a respective user accessed a respective media source. The method includes identifying media sources accessed by a user, creating combinations of the identified media sources, and determining a minimum access value associated with each combination of the identified media sources. The method further includes creating an overlap value by adding the determined minimum access values to create an overlap value associated with each combination and selecting, based on the overlap value, a subset of a plurality of advertisement placement spots.