A system, method, device, and platform for tokenizing an event. An event marked as important is received. Information associated with the event is automatically documented. The event and the information associated with the event are tokenized. One or more tokens associated with the event are communicated.

A system, method, and device for tokenizing an asset. An asset is received. The asset is enhanced utilizing one or more creator tools of a system. The asset is tokenized. A token associated with the asset is wrapped with metadata. The token is minted. An inaudible tone is embedded in each asset for authentication.

An information providing apparatus includes: a communication interface configured to communicate with a terminal apparatus; and a controller configured to: select either one of a food-serving facility and an accommodation facility as a facility to be recommended to a user, according to an arrival time slot in which the user is to arrive at a destination; refer to, when selecting a food-serving facility, first profile data indicating preference of the user for food to select at least one of a plurality of food-serving facility candidates; refer to, when selecting an accommodation facility, second profile data indicating preference of the user for accommodation services to select at least one of a plurality of accommodation facility candidates; and transmit, regardless of which of a food-serving facility and an accommodation facility has been selected, facility data indicating a selected candidate, to the terminal apparatus via the communication interface.

The invention consists of a set of methods and systems, which comprise a unified approach for an identification and/or searching for information and/or content in data bases and/or the Internet on the basis of direct or indirect characteristic features of the users of the information and the content which are being searched for and/or used as well as an automatic generation of electronic content conforming to the characteristics of its future users.

A method of providing targeted content across user channels includes receiving a plurality of device activity events on a user device, storing the received plurality of device activity events, creating an audience population based on the stored device activity events, determining links for additional secondary user devices based on the user device, creating a cross-channel advertising campaign targeting the determined audience population, and running the cross-channel advertising campaign based on the device activity and the determined additional secondary user devices

The present disclosure provides computer-implemented systems and processes for clustering items and improving the utility of item recommendations. One process involves applying a clustering algorithm to users' search session queries over periods of time to generate query clusters comprising correlated query terms. Correlations may be based on, among other things, the frequency of which query term pairs appear together in a single search session. The generated query clusters may be used to generate item descriptor clusters indicative of items and/or types of items that may be complementary. Other criteria may be applied to the query and item clusters to generate variant clusters. For example, information such as related brands, market segments, and other data may be applied to item descriptor clusters to generate item clusters that include complementary items associated with or targeted for particular demographics. Item descriptor clusters and item clusters can be used to improve the item recommendations.

One or more embodiments of the disclosure include methods and systems that allows for improved user navigation within a group of content items. For example, a content navigation system can identify a content item within a group of content items to provide to a user in response to a user interaction. In some embodiments, the content navigation system can identify a content item to provide to the user based on one or more factors, such as a characteristic of a user interaction and a relevance of a content item. In addition, the content navigation system can strategically provide advertisement content items to a user by adjusting one or more factors with respect to advertisement content items.

Embodiments for providing intelligent location-based signage services are generally described herein. An intelligent signage device may include a proximity module arranged to receive a notification that a personal device is within an area of the intelligent signage device. The signage may also include a transceiver arranged to establish a connection from the intelligent signage device to the personal device and receive user data from the personal device via the connection. An offer-customization module of the digital signal may be arranged to determine a set of display options based on the user data, a member of the set of display options corresponding to an offer for a product and a presentation module of the digital signage may be arranged to display the member of the set of display options on the intelligent signage device.

Systems and methods are presented for conducting consumer transactions using dynamic pricing. In some embodiments, a computer-implemented method is presented. The method may include accessing, at a mobile device of a user, at least one spending constraint of the user, with the spending constraint representing a spending limit to purchase one or more items. The method may also include transmitting the at least one spending constraint to a receiver of a merchant and accessing a modified offer to purchase one or more items from the merchant, with the modified offer for the one or more items being modified from an original offer for the one or more items based on the at least one spending constraint transmitted to the merchant.

A method for managing device replacements is disclosed. The method proposes to data mine a dataset of device transitions, wherein a device transition is an entry representing a user replacing a first device by a second device at a given point in time. This dataset is exploited so as to first predict which device, or set of devices is closed to be obsolete and needs to be replaced and then, to determine a candidate new device that is the most suited to replace the obsolete device.