Methods and systems of providing alternative advert (AA) query items for an AA system are disclosed. A request is received to generate an AA query. In response to the request, it is determined whether a percentage of scoreable AA query items for which a viewer has a known or derived preference exceeds a threshold value. Each scoreable AA query item has an assigned equity score and an assigned viewer-item affinity score. In response to determining that the percentage of scoreable AA query items exceeds the threshold value, one or more first AA query types are determined to create for the viewer. The requested AA query is sent. A response to the sent AA query is received. Equity scores and viewer-item affinity scores of total scoreable AA query items are updated based on the response.

Methods, systems, and media for providing audience recommendations are provided. In some embodiments, the method for providing content recommendations includes: receiving an indication that a user account has been authenticated; determining whether a campaign associated with the user account meets one or more criterion to receive a recommendation interface for creating a custom audience for one or more promotional content items in the campaign, wherein the custom audience is applied to a campaign to assist a content provider reach audiences searching for a product or a service associated with the content provider on a plurality of platforms; determining that a performance metric in response to applying the custom audience to the campaign is greater than a threshold performance metric; in response to determining that the campaign associated with the user account meets the one or more criterion, generating the recommendation interface that prompts the content provider to create the custom audience for application to the campaign, wherein the recommendation interface includes the performance metric and a plurality of suggested keywords for reaching the custom audience; and causing the recommendation interface to be presented.

The present invention relates to summarizing cross-network user behavioral data. The summarizing cross-network user behavioral data may particularly include publishing the data to one or more data structures that become accessible to a server hosting an authorized domain when a user accesses the authorized domain.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing conversion path performance measures and reports. In one aspect, user interaction data are obtained, were the user interaction data specify user interactions for a plurality of conversions. User interactions that are associated with each conversion are selected from the user interaction data, where the associated user interactions for each conversion are user interactions with a converting user during the conversion cycle for the conversion. Using the user interaction data for the selected user interactions, a quantity of user interactions that are associated with each conversion and occurred during the conversion cycle for the conversion are determined. In turn, conversion path performance measures are computed and reports specifying the conversion path performance measures are generated.

Systems and methods are described herein for analyzing messages and other information provided in relation to a web communication, a mobile application communication session, a phone communication, or another type of communication. For example, a system and method are provided for initiating a text message communication session between an agent and a user. A two-way communication session may be facilitated between the user and the agent. A mobile telephone number disclosed by the user during the two-way communication session may be detected, and a text message communication session between the user and the agent may be initiated if a mobile telephone number was detected. Availability status associated with a provider of items or services may also be analyzed to determine an agent for communicating with the user.

An electronic device and method are disclosed herein. The electronic device includes a microphone, a camera, an output device, a memory, and a processor. The processor implements the method, including receiving a voice input and/or capturing an image, and analyze the first voice input or the image to determine at least one of a user's intent, emotion, and situation based on predefined keywords and expressions, identifying a category based on the input, selecting first information based on the category, selecting and outputting a first query prompting confirmation of output of the first information, detect a first responsive input to the first query, and when a condition to output the first information is satisfied, output a second query, detecting a second input responsive to the second query, and selectively outputting the first information based on the second input.

A method of generating content information that matches at least one stored keyword is described. At least one keyword associated with content information is stored. At least one previously searched keyword in a search record is matched with the at least one stored keyword associated with the content information. First-category mapping data is generated based on a first mapping between the matched at least one stored keyword and the at least one previously searched keyword. Second-category mapping data is generated based on the content information and the at least one stored keyword. A received target keyword is determined to be included in the first-category mapping data. In response to the received target keyword, which is included in the first-category mapping data, circuitry of a terminal searches for the content information associated with the target keyword in the second-category mapping data and displays the content information.

A machine is configured to generate in real time personalized online banner images for users based on data pertaining to user behavior in relation to an image of a product. For example, the machine receives a user selection indicating one or more data features associated with the user. The one or more data features include a data feature pertaining to user behavior in relation to an image of a product. The machine generates, using a machine learning algorithm, a data representation of the machine learning algorithm based on the one or more data features including the data feature pertaining to user behavior in relation to the image of the product. The data representation includes one or more data features pertaining to one or more characteristics of online banner images. The machine generates an online banner image for the user based on the data representation.

Systems and methods are disclosed for creating, editing, sharing and distributing high-quality, media-rich web-based communications. The communications are created in a layered fashion that integrates user-selected text, colors, background patterns, images, sound, music, video, or other media. The systems and methods are used to generate, edit, broadcast, and track electronic presentations, brochures, advertisements (such as banner advertisements on highly trafficked media websites), announcements, and interactive web pages, without the need for the user to understand complex programming languages.

In a method for delivering targeted television advertisements based on online behavior, IP addresses indicating online access devices and IP addresses indicating television set-top boxes are electronically associated for a multitude of users. Using user profile information derived from online activity from one of the online access IP addresses, a television advertisement is selected, such as by using behavioral targeting or demographic information, and automatically directed to the set-top box indicated by the set-top IP address associated with that online access IP address. Preferably neither the user profile information nor the electronic association of online access and set-top box IP addresses includes personally identifiable information.