Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for mapping webpages to page groups. The program and method provide for receiving plural Uniform Resource Locators (URLs), each URL of the plural URLs corresponding to a respective webpage of a website; generating a distance matrix with pairwise distances between the plural URLs; performing hierarchical clustering based on the distance matrix, to generate a dendrogram in which the plural URLs are arranged in hierarchical clusters; and determining, based on the dendrogram, a predicted page group for each of the plural URLs.

Abstract: A wheel for a vehicle, such as a forklift (e.g., an electric forklift) or another material-handling vehicle, in which the wheel comprises a tire (e.g., a non-pneumatic tire) and may be designed to enhance its use and performance and/or use and performance of the vehicle, including, for example, to exhibit less rolling resistance, be more energy-efficient and/or allow the vehicle to travel faster and/or with improved ride comfort. For instance, elastic deformation of the wheel as it rolls may be better managed (e.g., reduced), which may improve thermal behavior of the wheel and/or may be combined with ways to better distribute or dissipate heat (e.g., by increasing thermal conductivity).

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for mapping webpages to page groups. The program and method provide for receiving plural Uniform Resource Locators (URLs), each URL of the plural URLs corresponding to a respective webpage of a website; generating a distance matrix with pairwise distances between the plural URLs; performing hierarchical clustering based on the distance matrix, to generate a dendrogram in which the plural URLs are arranged in hierarchical clusters; and determining, based on the dendrogram, a predicted page group for each of the plural URLs.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for mapping webpages to page groups. The program and method provide for receiving plural Uniform Resource Locators (URLs), each URL of the plural URLs corresponding to a respective webpage of a website; generating a distance matrix with pairwise distances between the plural URLs; performing hierarchical clustering based on the distance matrix, to generate a dendrogram in which the plural URLs are arranged in hierarchical clusters; and determining, based on the dendrogram, a predicted page group for each of the plural URLs.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for determining zone types of a webpage. The program and method provide for generating, for at least one node a first webpage, a vector including HTML content corresponding to the at least one node; providing the vector as input to a machine learning model configured to output a predicted node type based on the vector, the machine learning model having been trained with plural vectors including HTML content corresponding to plural nodes of second webpages; and determining, based on the output of the machine learning model, the predicted node type of the vector, to classify the at least one node.

Abstract: A system and method for detecting webpage zones of interest. A method includes receiving at least one webpage analysis request, wherein the received at least one webpage analysis request includes at least one webpage in a website; identifying, in the at least one webpage, at least one zone, wherein the at least one zone is a content element of a webpage; classifying the at least one zone into a category of interest, wherein the classification is based on a trained machine learning model configured to classify DOM elements of the least one webpage, and wherein a category of interest is a category determined based on a functionality of the website; and storing the classification by indicating the category of interest for each zone.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for determining conditions for a set of webpages. The program and method provide for receiving a first set of URLs, each URL of the first set corresponding to a respective webpage of a web site, the first set corresponding to a subset of webpages that comprise the website; identifying repeating patterns of field values in the first set; determining positive conditions that characterize the first set; determining, from the web site webpages other than those in the first set, a second set of URLs that satisfy the positive conditions; identifying repeating patterns of field values in the second set; determining positive conditions that characterize the second set; and computing negative conditions for the first set, by subtracting the positive conditions characterizing the second set from the positive conditions characterizing the first set.

Abstract: A system and method for detecting webpage zones of interest. A method includes receiving at least one webpage analysis request, wherein the received at least one webpage analysis request includes at least one webpage in a website; identifying, in the at least one webpage, at least one zone, wherein the at least one zone is a content element of a webpage; classifying the at least one zone into a category of interest, wherein the classification is based on a trained machine learning model configured to classify DOM elements of the least one webpage, and wherein a category of interest is a category determined based on a functionality of the website; and storing the classification by indicating the category of interest for each zone.

Abstract: A system and method for detecting webpage zones of interest. A method includes receiving at least one webpage analysis request, wherein the received at least one webpage analysis request includes at least one webpage in a website; identifying, in the at least one webpage, at least one zone, wherein the at least one zone is a content element of a webpage; classifying the at least one zone into a category of interest, wherein the classification is based on a trained machine learning model configured to classify DOM elements of the least one webpage, and wherein a category of interest is a category determined based on a functionality of the website; and storing the classification by indicating the category of interest for each zone.

Abstract: A system and method for detecting webpage zones of interest. A method includes receiving at least one webpage analysis request, wherein the received at least one webpage analysis request includes at least one webpage in a website; identifying, in the at least one webpage, at least one zone, wherein the at least one zone is a content element of a webpage; classifying the at least one zone into a category of interest, wherein the classification is based on a trained machine learning model configured to classify DOM elements of the least one webpage, and wherein a category of interest is a category determined based on a functionality of the website; and storing the classification by indicating the category of interest for each zone.

Abstract: A wheel for a vehicle, such as a forklift (e.g., an electric forklift) or another material-handling vehicle, in which the wheel comprises a tire (e.g., a non-pneumatic tire) and may be designed to enhance its use and performance and/or use and performance of the vehicle, including, for example, to exhibit less rolling resistance, be more energy-efficient and/or allow the vehicle to travel faster and/or with improved ride comfort. For instance, elastic deformation of the wheel as it rolls may be better managed (e.g., reduced), which may improve thermal behavior of the wheel and/or may be combined with ways to better distribute or dissipate heat (e.g., by increasing thermal conductivity).

Abstract: A track system for traction of an off-road vehicle, such as an all-terrain vehicle (ATV) or a snowmobile. The track system may have various features to enhance its traction and/or other aspects of its performance, including, for example, an improved capability to compact, contain and/or otherwise manage snow or other ground matter (e.g., soil, mud, sand, etc.) on which the off-road vehicle travels.