An online system includes a method for selecting influential users of the online system to be presented with content items. The online system receives input from a third party system specifying the type of users that the content items should be presented to. Based on this input, the online system identifies one or more subject users of the online system as candidates to present the content items to. By comparing the actions of a subject user with the actions of one or more users of the online system determined to be closely correlated with the subject user, the online system determines the expected influence of the subject users. The influence of the subject users is used to determine which users to present the content item to.

Some embodiments of the present disclosure relate to methods and systems for providing an advertisement to a user based on a collective experience of the user. One method includes accessing a plurality of ambience specifications having corresponding advertisements. Each ambience specification may comprise a first view specification and a second view specification, and each view specification may comprise a list of ambience attributes. The method may include capturing first data at a first time and determining, for each of the first view specifications, a first match quality value. The method may include capturing second data at a second time and determining, for each of the second view specifications, a second match quality value. The method may include determining a best fit ambience specification based on the first match quality values and the second match quality values, and presenting to the user, the advertisement corresponding to the best fit ambience specification.

An information processing apparatus includes a processor configured to control the position of an advertisement image in the depth direction in accordance with the priority of the advertisement image, the advertisement image being an image of an advertisement formed in the air.

Non-limiting examples of the present disclosure describe proactive action by an intelligent personal assistant application/service to improve functionality of one or more applications. In one example, an intelligent personal assistant service may interface with a messaging application to analyze a message thread within the messaging application. The intelligent personal assistant service may analyze the message thread by evaluating context of message content within the message thread. Analysis of the message thread may occur proactively without requiring an explicit request for assistance from a user of a processing device. In response to the analyzing of the message thread, the intelligent personal assistant service may proactively provide a cue that includes content retrieved by the intelligent personal assistant service. An input may be received to include the cue within the message thread. In response to receiving the input, the cue may be displayed within the message thread. Other examples are also described.

An event wizard server includes at least one processor that executes the event wizard server application that bidirectionally communicates event planning data with a user of a client device via a network interface. The event planning data includes: event type menu data, event type selection data, event size selection data, location data received from the client device, event budget menu data, event budget selection data, event budget data, event option menu data, event option selection data, event invitee menu data, and event invitee selection data.

Systems and methods are provided for generating and using classification models to automatically classify pages or other source content as including text about one or more real-world events. Generating the classification models may include analyzing text content of a large number of different pages from both a reference source and from more dynamic sources, such as from publisher sources via a network. Features for training classifiers may be determined based in part on the top n-grams identified among pages that have been determined to be associated with a given event.

In an approach for asset management, a processor identifies the location of an asset. A processor receives information specific to the location of the asset. A processor determines that an alert is required based on at least the asset, the location of the asset, and the information specific to the location of the asset. A processor generates an alert.

Methods, computer program products, and systems are presented. The methods include, for instance: generating a set of one or more candidate advertisement to be displayed on a device of a user. Each candidate advertisement may be respectively associated with a relevant zone in physical venues.

An event wizard server includes at least one processor that executes the event wizard server application that bidirectionally communicates event planning data with a user of a client device via a network interface. The event planning data includes: event type menu data, and event type selection data, wherein at least one event type includes a sequential task-oriented event.

Advertisement information relating to an object is provided in real time, while capturing images of the object. m first local features which are respectively feature vectors from one dimension to i dimensions are stored in association with an object, n feature points are extracted from a video picture, n second local features which are respectively feature vectors from one dimension to j dimensions are generated, the smaller number of dimensions is selected, of the number of dimensions i and the number of dimensions j, and an object is recognized to be present in the video picture and advertisement information relating to that object is provided when determination is made that at least a prescribed ratio of the m first local features of the selected number of dimensions corresponds to the n second local features of the selected number of dimensions.