Abstract: The disclosure is generally directed to the field of optimizing feedstock in pyrolysis systems. A method of obtaining pyrolysis oil from a feedstock comprising rubber comprises the steps of: providing a feedstock comprising rubber; milling the feedstock, thereby providing particles; and pyrolyzing the particles in a vessel; wherein the median size of the particles is from about 0.5 mm to about 15 mm, optionally from about 0.5 mm to about 12 mm, optionally from about 0.5 mm to about 9 mm, optionally from about 0.5 mm to about 6 mm, optionally 15 mm or smaller, optionally 12 mm or smaller, optionally 9 mm or smaller, optionally 6 mm or smaller. The feedstock optionally comprises a plurality of tires.

Abstract: In accordance with an embodiment, described herein is a system and method for providing a REST-based interface and connector for use with a data analytics environment, such as, for example, a business intelligence environment, database, data warehouse, or other type of environment that supports data analytics. A data analytics environment can expose a REST connector that can be configured via a user interface, to provide a connectivity layer that works with a range of REST implementations. A user can create and/or configure one or more connections, to support access to data provided by a variety of databases or data sources. The interface and connector establishes a connection to one or more REST endpoints which can be used to access and manipulate data from a variety of cloud applications and platforms, for example SaaS sources, for analytic workloads.

Abstract: A method may include receiving radio station data associated with multiple radio stations from one or more radio station providers and filtering the radio stations based at least in part on playback availability. Playback availability may include a broadcast right associated with the one or more radio station providers. The method may also include removing duplicate radio stations and supplying a searchable radio station directory to a platform or a client device.

Abstract: Devices, systems, and methods can be used including receiving motion data including comparing time-stamped speed data with predetermined cycling speed ranges, categorizing the speed data into portions of a minute that indicate each of the predetermined cycling speed ranges, determining portions of a minute indicate a cycling activity has begun, determining portions of a later minute indicate a cycling activity has paused or ended, confirming a minimum time inactive indicating that a cycling activity has ended, and determining that a minimum time active has elapsed between the indication a cycling activity has begun and indication a cycling activity has ended such that a cycling activity is categorized as a cycling workout.

Abstract: Devices, systems, and methods can be used including receiving motion data including comparing time-stamped speed data with predetermined cycling speed ranges, categorizing the speed data into portions of a minute that indicate each of the predetermined cycling speed ranges, determining portions of a minute indicate a cycling activity has begun, determining portions of a later minute indicate a cycling activity has paused or ended, confirming a minimum time inactive indicating that a cycling activity has ended, and determining that a minimum time active has elapsed between the indication a cycling activity has begun and indication a cycling activity has ended such that a cycling activity is categorized as a cycling workout.

Abstract: A server computing device can (1) managing a plurality of album artwork templates, wherein each album artwork template of the plurality of album artwork templates includes a plurality of entries, and each entry of the plurality of entries defines a respective manner by which a respective album artwork image is to be generated, (2) receiving, from a client device, a request for an album artwork image, wherein the request includes: a first identifier that corresponds to a particular image of an artist, a second identifier that corresponds to a particular album artwork template of the plurality of album artwork templates, and locale information that corresponds to a particular entry of the particular album artwork template, and (3) generating the album artwork image according to the respective manner defined by the particular entry, wherein the album artwork image is based at least in part on the particular image of the artist.

Abstract: In accordance with an embodiment, described herein is a system and method for providing a REST-based interface and connector for use with a data analytics environment, such as, for example, a business intelligence environment, database, data warehouse, or other type of environment that supports data analytics. A data analytics environment can expose a REST connector that can be configured via a user interface, to provide a connectivity layer that works with a range of REST implementations. A user can create and/or configure one or more connections, to support access to data provided by a variety of databases or data sources. The interface and connector establishes a connection to one or more REST endpoints which can be used to access and manipulate data from a variety of cloud applications and platforms, for example SaaS sources, for analytic workloads.

Abstract: The present technology is directed to high performing trained machine learning models for information retrieval in a web store. In some embodiments, for example, when a search query is received from a user of an online retailer, a computer system associated with the online retailer accesses measurements of performance of sets of search results returned in response to previous user search queries. Each of the previous search results set is a set that was ranked by a machine learning model selected from a store of machine learning models that are each trained to rank search results. Based on the measurements of performance, the computer system selects a machine learning model to rank search results for a response to the received search query. The ranked search results are provided for output to the user.

Abstract: A method may include receiving radio station data associated with multiple radio stations from one or more radio station providers and filtering the radio stations based at least in part on playback availability. Playback availability may include a broadcast right associated with the one or more radio station providers. The method may also include removing duplicate radio stations and supplying a searchable radio station directory to a platform or a client device.

Abstract: A server computing device can (1) managing a plurality of album artwork templates, wherein each album artwork template of the plurality of album artwork templates includes a plurality of entries, and each entry of the plurality of entries defines a respective manner by which a respective album artwork image is to be generated, (2) receiving, from a client device, a request for an album artwork image, wherein the request includes: a first identifier that corresponds to a particular image of an artist, a second identifier that corresponds to a particular album artwork template of the plurality of album artwork templates, and locale information that corresponds to a particular entry of the particular album artwork template, and (3) generating the album artwork image according to the respective manner defined by the particular entry, wherein the album artwork image is based at least in part on the particular image of the artist.

Abstract: A method may include receiving radio station data associated with multiple radio stations from one or more radio station providers and filtering the radio stations based at least in part on playback availability. Playback availability may include a broadcast right associated with the one or more radio station providers. The method may also include removing duplicate radio stations and supplying a searchable radio station directory to a platform or a client device.

Abstract: A server computing device can execute the steps of (1) managing a plurality of album artwork templates, wherein each album artwork template of the plurality of album artwork templates includes a plurality of entries, and each entry of the plurality of entries defines a respective manner by which a respective album artwork image is to be generated, (2) receiving, from a client device, a request for an album artwork image, wherein the request includes: a first identifier that corresponds to a particular image of an artist, a second identifier that corresponds to a particular album artwork template of the plurality of album artwork templates, and locale information that corresponds to a particular entry of the particular album artwork template, and (3) generating the album artwork image according to the respective manner defined by the particular entry, wherein the album artwork image is based at least in part on the particular image of the artist.

Abstract: A server computing device can execute the steps of (1) managing a plurality of album artwork templates, wherein each album artwork template of the plurality of album artwork templates includes a plurality of entries, and each entry of the plurality of entries defines a respective manner by which a respective album artwork image is to be generated, (2) receiving, from a client device, a request for an album artwork image, wherein the request includes: a first identifier that corresponds to a particular image of an artist, a second identifier that corresponds to a particular album artwork template of the plurality of album artwork templates, and locale information that corresponds to a particular entry of the particular album artwork template, and (3) generating the album artwork image according to the respective manner defined by the particular entry, wherein the album artwork image is based at least in part on the particular image of the artist.

Abstract: Optimization systems and methods to generate optimized resource allocations are disclosed. To generate an optimized resource allocation, a system or method accesses a relationship model defining a statistical relationship between operations data values and performance data values. The relationship model also includes a confidence score indicating a degree of confidence in the statistical relationship between the operations data values and the performance data values for each of a plurality of the operations data values. Using the relationship model, an operations value is selected to achieve an optimal value of the performance data values. The selected operations value is selected from a set of operations data values for which the corresponding confidence score exceeds a specified threshold, and the optimal value of the performance data represents an optimum of the performance data values that are mapped, by the relationship model, to the operations data values in the set.

Abstract: Risk-controlled operations cost performance modeling and associated systems and methods are disclosed herein. A retail store generates operations data and performance data, where the operations data represents values of an operations parameter collected over a period of time from the retail store and the performance data represents a value of a performance parameter measured for each of the values of the operations data. Based on the operations and performance data, an initial relationship model is generated. A confidence interval for the initial relationship model is generated using intermediate relationship models, generated by subsampling the operations and performance data. The confidence interval is used to select an operations threshold, which modifies the initial relationship model to generate a risk-controlled relationship model. The risk-controlled relationship model is used to select a value of the operations parameter for use in the retail environment to achieve a desired performance value.

Abstract: An image recommendation system extracts multiple sets of feature vectors from each of a plurality of images in an image catalog using multiple image classification algorithms. For a first image in the plurality of images, the recommendation system generates multiple similarity scores between the first image and each of one or more other images in the image catalog based on the feature vectors extracted from the first image and the one or more other images using each of the multiple image classification algorithms. A first set of weights is applied to the multiple similarity scores to generate respective weighted similarity scores between the first image and each of the one or more other images. The weighted similarity scores are stored, and used to select images that are similar to the first image.

Abstract: The present technology is directed to high performing trained machine learning models for information retrieval in a web store. In some embodiments, for example, when a search query is received from a user of an online retailer, a computer system associated with the online retailer accesses measurements of performance of sets of search results returned in response to previous user search queries. Each of the previous search results set is a set that was ranked by a machine learning model selected from a store of machine learning models that are each trained to rank search results. Based on the measurements of performance, the computer system selects a machine learning model to rank search results for a response to the received search query. The ranked search results are provided for output to the user.

Abstract: Devices, systems, and methods can be used including receiving motion data including comparing time-stamped speed data with predetermined cycling speed ranges, categorizing the speed data into portions of a minute that indicate each of the predetermined cycling speed ranges, determining portions of a minute indicate a cycling activity has begun, determining portions of a later minute indicate a cycling activity has paused or ended, confirming a minimum time inactive indicating that a cycling activity has ended, and determining that a minimum time active has elapsed between the indication a cycling activity has begun and indication a cycling activity has ended such that a cycling activity is categorized as a cycling workout.

Abstract: A method may include receiving radio station data associated with multiple radio stations from one or more radio station providers and filtering the radio stations based at least in part on playback availability. Playback availability may include a broadcast right associated with the one or more radio station providers. The method may also include removing duplicate radio stations and supplying a searchable radio station directory to a platform or a client device.

Abstract: A recommendation system and method access a recommendation bundle pool including multiple recommendation algorithms, each of which is capable of generating one or more recommendations. A first recommendation bundle comprising two or more recommendation algorithms is selected from the pool. Using the first recommendation bundle, recommendations are generated to provide to visitors to a website. When the recommendation system detects a triggering condition for a scaling cycle, the recommendation system applies a scaling mechanism to increase an exploration of additional recommendation bundles from the recommendation bundle pool. Based on the exploration, the recommendation system selects a second recommendation bundle including algorithms selected from the pool. Recommendations are generated using the second recommendation bundle.