Paypal, Inc.

Amdocs Development Limited

Amdocs Software Systems Limited

Yael Cohen

Olga Sharshevsky

Ran Yuchtman

Elina Nemtsov

Sanjay Bhatia

Matias Rotenberg

Shay Elbaz

Amit Agarwal

Eyal Rot

Guy Ronen

Gal Hochma

Chen Kovacs

Chen Levkovich

The present disclosure provides a method of automatically extracting data from web pages and analyzing the extracted data to generate an output. A plurality of web pages of a plurality of merchants is accessed. Based on the accessing of the web pages, a subset of the plurality of web pages is identified as inventory pages that contain information about products or services offered for sale. The inventory pages are electronically scanned to extract a price for each of the products or services. An output is generated that includes a listing of the products or services and prices associated with the products or services, respectively.

Method, medium, and system for automatic data extraction from web pages and analysis thereof

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.

Evaluating user status via natural language processing and machine learning

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.

Risk assessment based on listing information

A system, method, and computer program product are provided for performing operations on network files including captured billing event information. In use, at least one network file is generated in response to a data capture command associated with a communications network, the at least one network file including information associated with a plurality of billing events corresponding to the communication network. Additionally, user input is received to perform at least one operation corresponding to the at least one network file, the at least one operation including at least one of: editing the at least one network file; filtering the at least one network file, based on configurable criteria; replaying at least a portion of the plurality of billing events included in the at least one network file; and generating an event template utilizing at least a portion of the information associated with the plurality of billing events. Further, the at least one operation corresponding to the at least one network file is performed online in accordance with the user input.

System, method, and computer program for performing operations on network files including captured billing event information

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Tel Aviv, Israel

Yael Cohen