Provided are a method, an apparatus and a system for displaying bullet screen information. The method includes playing a target video, and displaying bullet screen information of the target video during the playing of the target video; displaying a reply window corresponding to currently displayed first screen information when a selection instruction corresponding to the first screen information is received; and receiving an information sending instruction corresponding to the reply window, obtaining second screen information input by a user in the reply window, displaying the second screen information corresponding to displaying of the first screen information, and transmitting, to a server, a reply information adding request corresponding to the first screen information, with the second screen information and an identifier of the first screen information being carried in the reply information adding request

A content distribution facilitation system is described comprising configured servers and a network interface configured to interface with a plurality of terminals in a client server relationship and optionally with a cloud-based storage system. A request from a first source for content comprising content criteria is received, the content criteria comprising content subject matter. At least a portion of the content request content criteria is transmitted to a selected content contributor. If recorded content is received from the first content contributor, the first source is provided with access to the received recorded content. The recorded content may be transmitted via one or more networks to one or more destination devices. Optionally, a voice analysis and/or facial recognition engine are utilized to determine if the recorded content is from the first content contributor.

An ad in a movie can be a static ad having a position in the movie that cannot be moved, or a dynamic ad having a position in the movie that can be changed. When a viewer wishes to skip a portion of the movie containing the ad, the playback system determines whether the ad is static or dynamic. If the ad is static, only the portion of the movie preceding the static ad can be skipped; the ad is unskippable. This technique is referred to as “bounceback” since the end of the skip bounces back to the start of the static ad. If the ad is dynamic, it is moved to after the end of the skip. This technique is referred to as “slip-ad” since the ad slips to later in the movie. When a movie has multiple ads, some can be static and some can be dynamic.

A display apparatus includes a processor configured to execute instructions to: based on an input from a user, select a category from a plurality of categories related to characteristics of a plurality of source devices connectable to an interface of the display apparatus, receive a plurality of pieces of content from at least one source device connected to the interface and corresponding to the selected category, and display a multi-image on a display of the display apparatus, based on at least two pieces of content from the plurality of pieces of content.

Various embodiments described herein support or provide for predicting a rating for a media asset for one geographic region based on a reference rating of the media asset for another geographic region.

An interactive television program guide application is provided that queries a user regarding the user's interest in television programs and suggests television programs to the user based on the user's responses. The interactive television program guide application identifies a television program that is potentially of interest to the user. The interactive television program guide application then queries the user regarding the user's interest using questions that are formulated based on attributes associated with the identified television program. Using the user's responses to the questions, the interactive television program guide application identifies and suggests one or more television programs to the user.

In various embodiments, a quality of experience (QoE) prediction application computes a visual quality score associated with a stream of encoded video content. The QoE prediction application also determines a rebuffering duration associated with the stream of encoded video content. Subsequently, the QoE prediction application computes an overall QoE score associated with the stream of encoded video content based on the visual quality score, the rebuffering duration, and an exponential QoE model. The exponential QoE model is generated using a plurality of subjective QoE scores and a linear regression model. The overall QoE score indicates a quality level of a user experience when viewing reconstructed video content derived from the stream of encoded video content.

A content replacement system detects a start of a content replacement break in a content stream provided to a client device. The system selects one or more of a plurality of content replacement parts. The system computes a retargeting probability for each of the selected content replacement parts, the retargeting probability based on collected information stored in a profile database, the collected information including a number of times that requests for content replacement parts have been associated with a network address and device identifier of the client device. The system modifies a content score of each of the selected content replacement parts by the corresponding retargeting probability. The system ranks the selected content replacement parts based on the modified content scores, inserts one or more of the highest ranked selected content replacement parts into the content stream, and transmits the modified content stream to the client device.

Systems and methods for generating and displaying groupings of content recommendations using personas are provided. The system determines content for each of the plurality of personas. The determined content for each of the plurality of personas comprises content that shares a common genre or theme for each persona. The system populates each of the plurality of personas using the determined content for each of the plurality of personas. The system then causes display of at least some of the plurality of personas on a viewing device of a user. The at least some of the plurality of personas is selected for the user based on device data corresponding to the user, whereby the device data indicates user preferences and interactions with previous content.

Provided herein are methods and systems for enabling users to provide contextually relevant information, such as feedback, relating to a content item. A computing device may receive a request for a content item. The computing device may receive the request and analyze a first portion of the content item to determine contextual information associated with the first portion. The computing device may determine one or more suggestions for contextually relevant items, such as symbols, to enable use of the symbols to provide information. The computing device may send the one or more suggestions with the first portion of the content item.