Abstract: The present disclosure relates to utilizing a content service system to improve selecting data sources that are used to retrieve digital content items in response to content requests. For example, in response to receiving a content request, the content service system determines to retrieve content items by either calling a lower-quality data source with lower computing costs based on the request having lower service quality metrics or by calling a higher-quality data source with higher computing-costs based on the request having superior service quality metrics. In many instances, the service quality metric is based on the user characteristics of a user identifier associated with the requesting device. By dynamically determining to utilize different data sources having different computing costs based on service quality metrics, the content service system significantly reduces the total amount of computing costs for retrieving and providing digital content, without hurting the user experience.

Abstract: The present disclosure relates to utilizing a content service system to improve selecting data sources that are used to retrieve digital content items in response to content requests. For example, in response to receiving a content request, the content service system determines to retrieve content items by either calling a lower-quality data source with lower computing costs based on the request having lower service quality metrics or by calling a higher-quality data source with higher computing-costs based on the request having superior service quality metrics. In many instances, the service quality metric is based on the user characteristics of a user identifier associated with the requesting device. By dynamically determining to utilize different data sources having different computing costs based on service quality metrics, the content service system significantly reduces the total amount of computing costs for retrieving and providing digital content, without hurting the user experience.

Abstract: Aspects of the present disclosure relate to systems and methods for increasing user engagement using incentivized user task completion. In some embodiments, the incentivized user tasks relate to game related tasks in exchange for rewards, also referred to as “gamification”. Such gamification techniques entice user interaction by involving introducing user specific games, rewards, and prizes into the online shopping experience. As described herein, such functionality relates to identifying user specific features, identifying a list of prized products for the user, introducing games for the user to engage with, and rewarding the user for successfully completing a game. The games and rewards may be presented to the user in an interactive visual display incorporating the game modules and rewards throughout. The gamification process may be a collaborative endeavor between the online shopping platform and online sellers to develop games and rewards which market products directly to specific users.

Abstract: Systems and methods are provided for determining contextual objects related to web content. Web content may include one or more elements, which may be extracted from the web content and analyzed to identify any contextual objects. The web content elements may be hyperlink elements, and contextual objects may be identified based on the hyperlink elements. A dominant entity may be identified for the web content, and contextual objects relating to the dominant entity may be identified. When a request for web content is received, contextual objects may be provided with the requested content. Personalized contextual objects may be selected from the identified contextual objects based on data associated with the request for web content. Selection of a contextual object may result in navigation to a browsing environment associated with the selected contextual object.

Abstract: In an example implementation according to aspects of the present disclosure, a system, method, and storage medium for carbon footprint remediation. A processor receives a set of utilization data from computing devices. The processor determines a location data corresponding to utilization data of the one of the computing devices. The processor determines a carbon footprint of the computing devices based on the utilization data and the location data. The processor compares the carbon footprint against a carbon footprint threshold.

Abstract: The present disclosure relates to systems and methods for a coupon text generation system that generates new coupon text for existing coupons. The systems and methods automatically expand coupon-catalogs using a product class taxonomy hierarchy for merchants that identifies the different products, brands, or product classes for the merchant. The systems and methods create a plurality of new coupon text for a coupon provided by a merchant based on the product class taxonomy for the merchant. The text of the coupon text is rewritten to apply to the different products, brands, and product classes provided by the merchant. The coupons may be ranked, and the top results of the ranked coupons may be returned for presentation on a website.

Abstract: In some examples, a system receives data from peripheral devices connected to respective point-of-sale (POS) base terminals, the data captured using agents executing in the POS base terminals during periods of reduced activity of the POS base terminals. Based on processing the received data, the system determines linkage of peripheral devices to the POS base terminals, and determines, for a first POS base terminal, swapping of a first peripheral device with a second peripheral device. The system generates an output indicating that the first peripheral device has been swapped with the second peripheral device, and identifies an issue associated with a POS base terminal or a peripheral device, and trigger a remediation action to address the issue.

Abstract: An example of an apparatus including a memory storage unit to store telemetry data collected from a plurality of sources, wherein each source of the plurality of sources maintains confidentiality. The apparatus further includes an anonymizing engine to remove identifying information from the telemetry data to generate anonymized data. The apparatus also includes a communication interface to receive request from a client device for an upgrade. The request includes a requesting device configuration of the client device. The apparatus also includes a selection engine to select a subset of the anonymized data based on the requesting device configuration. Furthermore, the apparatus includes a comparison engine to analyze the subset of the anonymized data to determine a probability of an upgrade failure at the client device. Additionally, the apparatus includes an upgrade engine to implement the upgrade on the client device based on the probability.

Abstract: In some examples, a system receives data from peripheral devices connected to respective point-of-sale (POS) base terminals, the data captured using agents executing in the POS base terminals during periods of reduced activity of the POS base terminals. Based on processing the received data, the system determines linkage of peripheral devices to the POS base terminals, and determines, for a first POS base terminal, swapping of a first peripheral device with a second peripheral device. The system generates an output indicating that the first peripheral device has been swapped with the second peripheral device, and identifies an issue associated with a POS base terminal or a peripheral device, and trigger a remediation action to address the issue.

Abstract: An example of an apparatus including a memory storage unit to store telemetry data collected from a plurality of sources, wherein each source of the plurality of sources maintains confidentiality. The apparatus further includes an anonymizing engine to remove identifying information from the telemetry data to generate anonymized data. The apparatus also includes a communication interface to receive request from a client device for an upgrade. The request includes a requesting device configuration of the client device. The apparatus also includes a selection engine to select a subset of the anonymized data based on the requesting device configuration. Furthermore, the apparatus includes a comparison engine to analyze the subset of the anonymized data to determine a probability of an upgrade failure at the client device. Additionally, the apparatus includes an upgrade engine to implement the upgrade on the client device based on the probability.

Abstract: Techniques for optimizing delivery of online content to a mobile client device. In an aspect, a search application on the client device receives a user query, which is submitted to a server over a communications channel. The server retrieves a plurality of ranked search results relevant to the user query, and returns the search results to the client device. The search application further pre-fetches from the server and/or pre-renders content associated with a top plurality of the ranked search results, such that content may be instantly displayed at the client device if requested by the user. The identification and ranking of relevant search results by the server may be performed based on information provided by the client device that is customized to the user and/or the scenario, e.g., user account name, geographical location, device capabilities, etc.

Abstract: Methods and systems to automatically identify market-agnostic and market-specific search queries are provided. Features of a received search query are analyzed and signaling associated with those features is ranked in terms of its strength in identifying the query as market-agnostic versus market-specific. A relevance score is generated for the received search query based on the feature rankings. The features and relevance score for the search query are used by a binary classifier for classifying and labeling each search query as market-agnostic or market-specific. Thus, search results may be returned and processed for market-agnostic search queries without the need, cost, and inefficiency of processing for every different market.

Abstract: Techniques for optimizing delivery of online content to a mobile client device. In an aspect, a search application on the client device receives a user query, which is submitted to a server over a communications channel. The server retrieves a plurality of ranked search results relevant to the user query, and returns the search results to the client device. The search application further pre-fetches from the server and/or pre-renders content associated with a top plurality of the ranked search results, such that content may be instantly displayed at the client device if requested by the user. The identification and ranking of relevant search results by the server may be performed based on information provided by the client device that is customized to the user and/or the scenario, e.g., user account name, geographical location, device capabilities, etc.

Abstract: Access to online search results is provided when a user device is offline. When a user search query is received while online, the search query is submitted to an online search engine. Search results received from the search engine are presented to the user, and the search query and search results are stored in a local data storage. When the search query is received while offline, the search results associated with the stored search query are retrieved from the local data storage and presented to the user.