Abstract: A computer system identifies a platform that corresponds to a first resource, wherein the first resource includes one or more resource pages. The computer system determines one or more x-paths that corresponds to the identified platform. The computer system utilizes at least a first x-path of the one or more x-paths to add a product to a digital shopping cart associated with the first resource. In response to adding the product to the digital shopping cart associated with the first resource, the computer system utilizes at least a second x-path of the one or more x-paths to access a first resource page of the one or more resource pages, wherein the first resource page is a checkout page. The computer system determines whether one or more elements located within the first resource page are valid.

Abstract: Methods and systems are presented for automatically detecting positions of various webpage elements within a webpage when the webpage is rendered, based on analyzing the programming code of the webpage. A position detection system obtains and parses the programming code of the webpage to identify webpage elements within the webpage. A group of related webpage elements is identified based on a shared programming structure. The position detection system generates a DOM tree based on the programming code, and determines relative positions of the webpage elements within the group by traversing the DOM tree using a breadth-first search algorithm.

Abstract: Methods and systems are presented for automatically detecting positions of various webpage elements within a webpage when the webpage is rendered, based on analyzing the programming code of the webpage. A position detection system obtains and parses the programming code of the webpage to identify webpage elements within the webpage. A group of related webpage elements is identified based on a shared programming structure. The position detection system generates a DOM tree based on the programming code, and determines relative positions of the webpage elements within the group by traversing the DOM tree using a breadth-first search algorithm.

Abstract: Methods and systems are presented for automatically detecting positions of various webpage elements within a webpage when the webpage is rendered, based on analyzing the programming code of the webpage. A position detection system obtains and parses the programming code of the webpage to identify webpage elements within the webpage. A group of related webpage elements is identified based on a shared programming structure. The position detection system generates a DOM tree based on the programming code, and determines relative positions of the webpage elements within the group by traversing the DOM tree using a breadth-first search algorithm.

Abstract: A request is received from a first user of a social interaction platform. The request is a request to acquire a status. In response to the receiving of the request, a database is accessed. The database contains first electronic data pertaining to previous interactions between the first user and other entities of the social interaction platform. The first electronic data is analyzed via one or more Natural Language Processing (NLP) techniques. A first result is obtained based on the analyzing. A machine learning process is executed based at least in part on the first result. Based on the executing of the machine learning process, a determination is made whether to grant or deny the request received from the first user.

Abstract: A computer system identifies a platform that corresponds to a first resource, wherein the first resource includes one or more resource pages. The computer system determines one or more x-paths that corresponds to the identified platform. The computer system utilizes at least a first x-path of the one or more x-paths to add a product to a digital shopping cart associated with the first resource. In response to adding the product to the digital shopping cart associated with the first resource, the computer system utilizes at least a second x-path of the one or more x-paths to access a first resource page of the one or more resource pages, wherein the first resource page is a checkout page. The computer system determines whether one or more elements located within the first resource page are valid.

Abstract: A computer system identifies a platform that corresponds to a first resource, wherein the first resource includes one or more resource pages. The computer system determines one or more x-paths that corresponds to the identified platform. The computer system utilizes at least a first x-path of the one or more x-paths to add a product to a digital shopping cart associated with the first resource. In response to adding the product to the digital shopping cart associated with the first resource, the computer system utilizes at least a second x-path of the one or more x-paths to access a first resource page of the one or more resource pages, wherein the first resource page is a checkout page. The computer system determines whether one or more elements located within the first resource page are valid.

Abstract: Methods and systems are presented for automatically detecting positions of various webpage elements within a webpage when the webpage is rendered, based on analyzing the programming code of the webpage. A position detection system obtains and parses the programming code of the webpage to identify webpage elements within the webpage. A group of related webpage elements is identified based on a shared programming structure. The position detection system generates a DOM tree based on the programming code, and determines relative positions of the webpage elements within the group by traversing the DOM tree using a breadth-first search algorithm.

Abstract: A system and method for assessing the risk of a listing that transforms information from the listing into variables suitable for a classifier trained to score the riskiness of listings and using the score in addition to predetermined variable constraints to determine whether a listing is fraudulent.

Abstract: A computer system identifies a platform that corresponds to a first resource, wherein the first resource includes one or more resource pages. The computer system determines one or more x-paths that corresponds to the identified platform. The computer system utilizes at least a first x-path of the one or more x-paths to add a product to a digital shopping cart associated with the first resource. In response to adding the product to the digital shopping cart associated with the first resource, the computer system utilizes at least a second x-path of the one or more x-paths to access a first resource page of the one or more resource pages, wherein the first resource page is a checkout page. The computer system determines whether one or more elements located within the first resource page are valid.

Abstract: A system and method for assessing the risk of a listing that transforms information from the listing into variables suitable for a classifier trained to score the riskiness of listings and using the score in addition to predetermined variable constraints to determine whether a listing is fraudulent.