Aspects of the disclosure describe improving identification of product solutions. An example method includes transcribing in real-time a conversation between a user and an agent into a speech text, processing digital data of the speech text associated with a topic, including parsing the speech text into one or more words and determining collocation information among the one or more words in the speech text. The method also includes providing the one or more words and the collocation information as a first input set to a machine learning engine configured to recommend one or more product solutions from a library of product solutions, generating a recommendation of one or more product solutions for a user based on recommendation parameters for the library of product solutions, and providing the recommendation.

Aspects of the subject disclosure may include, for example, embodiments for detecting a navigation application operating on a first communication device, and identifying a location of the first communication device. Further embodiments can include obtaining a first advertisement and a second advertisement according to the location of the first communication device as well as determining a first priority associated with the first advertisement and a second priority associated with the second advertisement. Additional embodiments can include determining the first priority is higher than the second priority resulting in a determination to present the first advertisement prior to the second advertisement, and providing the first advertisement, the second advertisement, and the determination to the first communication device. The first communication device presents the first advertisement within navigation content utilizing the navigation application prior to presenting the second advertisement within the navigation content based on the determination. Other embodiments are disclosed.

Machine learning (ML) can be used to gather data on prospective customers from publicly available online sources. The ML can provide data on a likelihood of near future, customers and subscribers and a list of people with low interest in the company's products. The ML system can be recursively updated as new public data becomes available online. Thus, the ML system can be used to generate targeted advertising and root cause analysis based on a relationship between people's statuses and their respective interests in certain products and/or services.

The present invention is directed to machine-learning based methods and systems related to dynamically inserting items multimedia content into media broadcasts. By using machine-learning based models, the performance of different items of multimedia content with different audiences can be automatically simulated, resulting in recommendations for where, when and how to optimally distribute those items of multimedia content. The multimedia content can be distributed by dynamically integrating that multimedia content into a streaming video feed. The reaction of an audience to the multimedia content is then automatically monitored, collected, and analyzed using machine-learning techniques, allowing the reaction of the audience to the multimedia content to be automatically determined. This reaction can then be input back into the machine-learning based simulator, further refining future predictions for the performance of items of multimedia content with audiences.

In one implementation, a computer-implemented method includes receiving, at a computer system, a request for outdoor adventures that satisfy one or more criteria; accessing a centralized data repository of outdoor adventures that are provided by a plurality of different guides; identifying, by the computer system, one or more outdoor adventures based on a comparison of the one or more criteria to data associated with the outdoor adventures; generating code that includes information for the one or more outdoor adventures, the code being generated for execution or interpretation on the client computing device; and transmitting the code to the client computing device, wherein the client computing device is programmed to automatically execute or interpret the code upon receipt so as to present a graphical user interface presenting the one or more outdoor adventures and a selectable feature to reserve at least a portion of the one or more adventures.

The present disclosure relates to a display device for transmitting advertisement content and a method for controlling the display device. According to an embodiment of the present disclosure, the display device may include a communication unit configured to transmit and receive data, a display to display content, a memory storing one or more instructions, and at least one processor configured to execute the one or more instructions stored in the memory. The at least one processor may obtain viewing information about content being displayed, obtain a plurality of smart contracts corresponding to a plurality of advertisement content items, respectively, determine advertisement content related to the content from among the plurality of advertisement content items based on the viewing information and the plurality of smart contracts, receive and reproduce the determined advertisement content, and share blocks including the plurality of smart contracts with an advertiser device, which provides the plurality of advertisement content items, and other display devices.

Examples are described that enable a sales notification application executing on the mobile device to provide an indication of a better price for a product. In the examples, product information may be obtained from product purchase receipts uploaded by mobile devices executing an instance of a sales notification application. Similarities may be determined between the product information received from each product purchase of the plurality of product purchases. The product information from each of the uploaded receipts may be aggregated based on the determined similarity between the product information. A selected product and a location at which the selected product has been purchased previously may be received for comparison to the aggregated information in a product purchase database. A comparison result may be output to the sales notification application. A payment card may be enabled to purchase the selected product.

A processor may generate, based on a predicted route of a user, a timeslot for presenting information to the user. The predicted route may be associated with a route segment, and the timeslot may be associated with the route segment. The processor may match one or more proposals to the timeslot associated with the route segment. The one or more proposals may be matched, at least in part, based on proposal criteria set by a proposal criteria user associated with the proposal. The processor may predict an acceptance potentiality of the user. The processor may select a subset of the one or more proposals. The processor may provide the selected subset of the one or more proposals. The selected subset may be provided, at least in part, based on the acceptance potentiality.

A method including receiving a digital promotion payload from a brand manufacturer for at least one branded consumer packaged good, the digital promotion payload including a digital promotion value associated with the branded consumer packaged good, is provided. The method includes receiving a bid request to the digital promotion engine, providing a bid response to the bid request, the bid response including the digital promotion payload, and receiving, from the supply side platform, a confirmation that the bid response has been selected from one or more bids from different digital advertising entities. The method includes providing a command to the supply side platform to deliver the digital promotion payload to a mobile device accessing a resource from the mobile display publisher, and loading the digital promotion value to a frequent shopper identification in response to a consumer interaction with the digital promotion payload detected from the mobile device.

Embodiments include systems and methods for cross-domain tracking of online wireless device activity to provide context aware mobile services. A request to access a first website can be received from a wireless device at a web server such that a first product or service is viewed, wherein code that comprises an identifier is stored on the wireless device. A request to access a second website can be received, wherein the wireless device is configured to access the second website in response to a notification from a wireless beacon associated with a physical storefront. The web server can then retrieve the identifier from the wireless device and retrieve an online activity history for the wireless device based on the identifier. Information associated with the storefront and first product or service can be transmitted to the wireless device.