Abstract: Real time item listing modification is described. A listing modification system receives, via a real time communication protocol from a client device, user interaction data that describes an item listing of a network-based commerce system currently being accessed at the client device. The user interaction data further describes an identity of a user of the client device and a manner in which the user of the client device interacts with the item listing. A modification user interface is generated for output at a different computing device and configured to present the user interaction data together with controls that are selectable to cause modification of the item listing output to the client device. The modified item listing is selectively output to only the client device, such that other computing devices simultaneously accessing the item listing are not updated to display the modified item listing.

Abstract: A system and method for receiving and executing emoji based commands in messaging applications. The system and method may include processes such as identifying emojis in a message, determining one or more action based on the emoji, and completing the determined actions.

Abstract: A method and apparatus for facilitating interactions between customers and agents are disclosed that include detecting whether a customer is present on a website related to an enterprise. The detection is performed subsequent to an initiation of an interaction with an agent by the customer. When the customer is detected to be present, an option is provided to the agent to offer co-browsing of the web site to the customer. In response to an acceptance of the offer by the customer, a co-browsing session is initiated for facilitating the co-browsing of the website. Digital content is generated based on at least one of the ongoing co-browsing session and the interaction between the customer and the agent and display of the digital content by the agent to the customer is caused. The digital content is displayed during the ongoing co-browsing session to provide assistance to the customer.

Abstract: Various examples are directed to systems and methods for utilizing purchase incentives in an electronic mobile wallet application. The mobile wallet application may receive a committable coupon data structure comprising terms data describing a purchase incentive and cryptographic verification data. The mobile wallet application may send a request to tokenize the committable coupon data structure to an element management system. The request may include an indication of a payment element associated with the mobile wallet application. The mobile wallet application may receive, from the element management system, a tokenized coupon data structure that comprises at least a portion of the committable coupon data structure and credential data for the payment element.

Abstract: Systems and methods are described for presenting supplemental information to a user that is related to an advertisement consumed by the user that the user found interesting. It may be determined that a user is interested in receiving supplemental information based on the user starting to use a device within a threshold time period from consuming the advertisement on a different device. The threshold time period may be determined based on historical amounts of time users have taken to access supplemental information after consuming the advertisement (e.g., if users access a webpage associated with the advertisement five minutes after the conclusion of the advertisement, the threshold time period may be five minutes). In response to determining that the user started using the first device within the threshold period of time from the end of the advertisement, supplemental information associated with the advertisement may be presented.

Abstract: Linking a consumption history of media to a consumer, including: creating a profile of the consumer using a blockchain-based media ledger; enabling the consumer to subscribe to advertisement networks; recording at least one of consumptions of the media and transactions by the consumer as a media consumption history on a content catalog of a digital right management (DRM); and ingesting the media consumption history into the blockchain-based media ledger from the content catalog of the DRM. Keywords include blockchain, advertising, cryptographic tokens, and DRM.

Abstract: An information processing apparatus according to the present disclosure comprises a controller including at least one processor. The controller is configured to: acquire a level of crowdedness of an intended store, the intended store being a store as a destination of a vehicle in which a user is riding; if the level of crowdedness of the intended store is greater than a given threshold, extract a store with a lower level of crowdedness than the intended store as a given recommended store from among other stores belonging to a same business group as the intended store; generate a suggestion advertisement, the suggestion advertisement being an advertisement for suggesting changing the destination of the vehicle from the intended store to the given recommended store; and present the suggestion advertisement to the user riding in the vehicle via a mobile terminal, the mobile terminal being a terminal that moves with the vehicle.

Abstract: Business goals may be achieved using adaptive rewarding for the personalization of contents. In response to receiving user information, personalized contents for the user can be recommended using a reinforcement learning algorithm. In response to presenting the personalized content to the user, an action by the user selecting a particular content may be received. A reward value can be calculated for the action based on a reward function. The reward function can be based, at least in part, upon the action, the selected content, and/or the user. The reward function can be based upon one or more business goals, such as user engagement, monetization, and/or security. The calculated reward value can be provided to the reinforcement learning algorithm, which can be adapted based upon the reward value for future selection of personalized contents.

Abstract: Provided herein is an autonomous or semi-autonomous vehicle fleet comprising a plurality of electric autonomous vehicle for apportioned display of a media, operating autonomously and a fleet management module for coordination of the autonomous vehicle fleet. Each autonomous or semi-autonomous vehicle comprising a screen configured to display the media. Activation, deactivation, brightness modification, in combination with specific media selection enables more efficient media display.

Abstract: Methods, systems and apparatus for identifying advertisements previously presented when processing related search queries related to a submitted search query, and providing the advertisements identified from the related search queries for presentation on a search results page for the submitted search query.

Abstract: Systems and methods are provided for using a machine learning model to analyze customers data for each of a number of customers interacting with electronic commerce, and determining whether the customers are high value customers. For the high value customers, one or more high value actions are then determined by the machine learning model, the one or more high value actions representing actions previously performed by or with respect to the customers and that correlate with a likelihood of the customers reaching high value customers status. Non-high value customers may then be prompted to perform the high value action which may elevate the non-high value customers to high value customers status.

Abstract: The DATA LEARNING AND ANALYTICS APPARATUSES, METHODS AND SYSTEMS (“DLA”) provides a data learning platform that analyzes and incorporates data knowledge from new data event updates (e.g., in a real-time stream, in a batch, etc.). In one implementation, the DLA provides a real-time data mining mechanism that accommodates an ever increasing data load instantaneously with reduced complexity, e.g., without re-building the data analytical model in its entirety whenever new data is received. In this way, the DLA provides an incremental learning mechanism for data analytics and thus the latency for real-time data assessment is reduced and the data processing efficiency is improved.

Abstract: An online system trains a content selection model based on a selected subset of presented content items as well as a sampled set of content items. The content selection model is configured to receive a set of features characterizing a user-content item pair and output a likelihood that the user will interact with the content item. The sampled set of content items may include content items that were not selected for display based on their likelihoods in addition to those that were selected, and may represent a wider distribution of user-content item pairs than the selected subset. By incorporating the sampled set of content items as well as the selected subset of content items in the training process, the online system can reduce bias in the content selection process such that content items similar to the unselected subset can also be adequately represented.

Abstract: In one aspect, an example method includes (i) receiving, by a computing system, from a content-presentation device a request for supplemental content for a content-replacement operation, with the request including an identifier of a stored replacement advertisement segment; (ii) selecting, by the computing system, a replacement advertisement segment for output by the content-presentation device in place of a modifiable advertisement segment; (iii) determining, by the computing system, that the selected replacement advertisement segment is different from the stored replacement advertisement segment; (iv) determining, by the computing system, whether the stored replacement advertisement segment is a valid replacement for the content-replacement operation; (v) determining, by the computing system, that the content-presentation device should output the selected replacement advertisement segment instead of outputting the stored replacement advertisement segment; and (vi) causing, by the computing system, the selec

Abstract: An ad collision machine can be configured to evaluate collision queries for possible ad collisions and is associated with an ad datacenter configured to evaluate and respond to bid requests on behalf of a plurality of advertisers. The ad collision machine can comprise a plurality of nodes and a data cache containing a plurality of user ID-campaign ID keys representing recently submitted bids in response to bid requests. Once a selected node receives a collision query, a user ID-campaign ID key is retrieved from the collision query. If the first key is not found in the data cache, it is written to the data cache by the node and the ad collision machine returns that user ID-campaign ID pair as available to be bid on.

Abstract: An attention application measures a user's attention focused on publisher content and advertisements to create an attention metric. Attention can be measured via hardware sensors or by user interactions with input/output hardware. A user attention metric profile can be used to modify content, content presentation, and/or match ads. Aggregate attention metrics can be used by publishers or third parties. Attention consumers may reward attention with a digital asset. A proof-of-attention can be made based on secure attention sensor hardware and/or a zero-knowledge proof.

Abstract: A call to action processor receives an entity datapoint containing data related to an entity, a campaign objective datapoint containing data associated with a campaign objective, at least one definite script element based on the campaign objective, and entity metadata containing data associated with the entity. The call to action further performs generating at least one variable script element based on the entity metadata, presenting to a device the at least one definite script element the at least one variable script element.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for determining user engagement with a content item. A computing device accesses at least one image of eyes of a user that is captured while a client device is presenting a first content item on a display of the client device. The computing device determines, based on using the at least one image as input in a neural network, a gaze of the user. The gaze including coordinates at which the user is looking in relation to the client device. The neural network was trained based on machine generated images of a modeled human user looking at various coordinates. The computing device determines, based on the gaze of the user, an engagement score for the user. The engagement score indicates a level of engagement of the user with the first content item.

Abstract: A processing device selects a population of persons and measures sales metrics from the population over a time period and measures an advertising weight over the time period. The processing device determines an effect that the advertising weight has on the sales metrics and additionally calculates values for a degree of targetedness for the advertisement to the population of persons. The processing device determines an effect that the degree of targetedness has on the sales metrics and generates a multi-dimensional model that measures the combined effects of the advertising weight and the degree of targetedness on the sales metrics.

Abstract: In accordance with one or more aspects, service requesters (e.g., advertisers) and/or affiliates (e.g., providing data traffic) may be set up for operation on a performance exchange. In accordance with other aspects, performance and monitoring may be carried out for such advertisers and/or affiliates. In some embodiments, routing criteria is established for affiliates, and may include information for selecting data traffic resources such as advertisements and network links, to be routed by the affiliates for providing data traffic over disparate networks. Requests for distribution of the data traffic resources (e.g., advertisements, links for obtaining the data traffic) are received and a routing option is selected for the requests based on the routing criteria for affiliates and criteria associated with a service requester from which the request is received. The routing option may specify one or more affiliates via which the data traffic resources are to be routed.