Disclosed are computer systems and methods for contextually targeted advertising using a regular periodicity of information derived from a user's messaging behavior. The disclosed systems and methods enable the prediction of future purchases based on a periodicity analysis of a user's purchase history, whereby advertisements can be targeted to the user based on the user's determined purchase habits. The disclosed systems and methods analyze a user's inbox by mining for purchase receipt messages, and determine a frequency of purchases associated with such receipts. Based on the determined frequency, the disclosed systems and methods can predict when subsequent like or similar purchases are to occur, whereby relevant advertisements or coupons may be served to the user in advance of the projected purchases.

A method and digital signage player for managing display of a distributed digital signage content. The digital signage player stores the distributed digital signage content, and a local placement target for the distributed digital signage content. The digital signage player displays the distributed digital signage content in accordance with the local placement target. The digital signage player exchanges messages with a neighbor digital signage player, for increasing the local placement target of the distributed digital signage content at the request of the neighbor digital signage player. The neighbor digital signage player also displays the distributed digital signage content in accordance with its own placement target, which needs to be decreased. The digital signage player ultimately increases the local placement target of the distributed digital signage content based on the messages exchanged with the neighbor digital signage player.

Systems and methods are provided herein for determining personalized timing for generating for display advertisements to users. Rather than an expert determining time segments of a media asset most suitable for presenting advertisements to users, the most suitable time segments in a media asset for presenting advertisements to users may be customized based on a user's profile information and/or the user's level of engagement in a media asset. The media guidance application may parse a media asset into multiple time segments and determine one or more time segments associated with metadata that matches content characteristics preferred by the user. One or more advertisements may be presented to the user in these time segments determined by the media guidance application instead of the time segments determined by the expert.

Systems and methods are provided herein for displaying recommendations that are temporally relevant to activities of a user and are contextually relevant to a portion of viewed media. This may be accomplished by a media guidance application identifying activities a user has planned, as well as respective times for which each of the plurality of activities was planned to be performed by the user. The media guidance application may filter the activities by determining which of the first plurality of activities has a corresponding respective time that is within a threshold period of time. The media guidance application may then identify characteristics of each filtered activity and of a media asset that the user is consuming at the present moment, and may compute whether the characteristics match. If the characteristics match, the media guidance application may generate for display a recommendation relating to the respective activity.

Aspects of the subject disclosure may include, for example, a method that includes obtaining media content, analyzing the media content for an advertisement insertion space, receiving a request for the media content from equipment of a user, obtaining a profile for the user, determining a location of the user, determining a time of a delivery of the media content, determining an advertising insertion for the advertising insertion space based on the profile of the user, the location of the user, and the time of the delivery of the media content, and inserting the advertising insertion into the media content in place of the advertisement insertion space to generate modified media content. Other embodiments are disclosed.

A content management apparatus manages a content display schedule specifying a time frame for displaying content on a display device. The content management apparatus can reserve to-be-displayed content in an available time frame of the content display schedule. At this time, it is determined whether an attribute of the to-be-reserved content overlaps an attribute of other content in a time frame before or after the time frame where the content is reserved. When the two attributes do not overlap each other, reservation of the content is acceptable.

A vehicle exterior mounted display system for attaching to the exterior of a moving vehicle and displaying video content that is geopositionally and temporally relevant. The vehicle exterior mounted display system includes a control unit configured to receive geolocation and time data as well as receive and process signals from a direct-broadcast satellite and a mounted display that is electrically connected to the control unit and mechanically attached to the exterior of the vehicle. The control unit selects a video stream in the signal received from the direct-broadcast satellite based on the geolocation and time data from the global navigation satellite system and causes the selected video stream to be displayed on the mounted display. The vehicle exterior mounted display system may also include an administration server that can tag the video streams in the signal from the direct-broadcast satellite with a targeted geolocation and a targeted time.

A computer-implemented method of generating recommendations based on predicted activity includes: receiving transaction data associated with a first transaction initiated by a user; determining, based on the transaction data, that the first transaction is associated with a travel purchase; in response to determining that the first transaction is associated with a travel purchase, identifying itinerary information associated with a trip; and automatically initiating at least one target action based on the itinerary information. A system and computer program product for generating recommendations based on predicted activity is also disclosed.

A vehicle sharing service system for proactive marketing of a vehicle sharing service includes one or more processors, a network access device, and a memory device, wherein the network access device and the memory device are in communication with the one or more processors. The memory device stores a customer location module and a communications module. The customer location module causes the one or more processors to determine when at least one mobile device of at least one potential customer is located within a predetermined distance to one or more vehicles of the vehicle sharing service. The communications module causes the one or more processors to transmit offer information for using the one or more vehicles to the at least one mobile device of the at least one potential customer when located within the predetermined distance to the one or more vehicles.

A first data packet can be received from an origination terminal at a remote server operatively coupled to the origination terminal and an end user terminal. The first data packet can have a plurality of offers and image or video data acquired by an image/video sensor. The image or video data can be processed by the remote server using an image processing algorithm to estimate a current idle time associated with the origination terminal. One or more aspects of the plurality of offers can be controlled by the remote server based on the current idle time. A second data packet including the plurality of offers can be transmitted to the end user terminal by the remote server. A selection of a preferred offer of the plurality of offers can be received from the end user terminal at the remote server. The preferred offer can be provided to the origination terminal.