A text mining system for collecting business intelligence about a client, as well as for identifying prospective customers of the client, for use in a lead generation system accessible by the client via the Internet. The text mining system has various components, including a data acquisition process that extracts textual data from various Internet sources, a database for storing the extracted data, a text mining server that executes query-based searches of the database, and an output repository. A web server provides client access to the repository, and to the mining server.
Web-Based Customer Lead Generator System With Pre-Emptive Profiling
A web-based customer lead generator system. The system is based on an application service model, with the programming for the system being accessible to users of the system via web browsers and the Internet. The users are typically business enterprises that maintain e-commerce web sites. The pre-emptive profiling process searches the Internet to obtain email addresses of potential web site buyers. It performs a reverse look-up process to obtain demographic data about each potential buyer. This data is used to provide a purchasing profile of the buyer, which is then forwarded to the e-commerce business enterprise.
Text Indexing System To Index, Query The Archive Database Document By Keyword Data Representing The Content Of The Documents And By Contact Data Associated With The Participant Who Generated The Document
John C Seibel - Austin TX, US Yu Feng - Maplewood NJ, US Robert L. Foster - Austin TX, US
Assignee:
ReachForce, Inc. - Austin TX
International Classification:
G06F 17/30
US Classification:
707 4, 707 6, 707 10, 7071041, 709203, 705 26
Abstract:
A text indexing system for collecting business intelligence about a client, as well as for identifying prospective customers of the client, for use in a lead generation system accessible by the client via the Internet. The text indexing system has various components, including a data acquisition process that extracts textual data from various Internet sources, a database for storing the extracted data, a text indexing server that executes keyword searches of the database, and an output repository. A web server provides client access to the repository, and to the indexing server.
John C. Seibel - Austin TX, US Yu Feng - Maplewood NJ, US Robert L. Foster - Austin TX, US
Assignee:
ReachForce, Inc. - Austin TX
International Classification:
G06F 7/00 G06F 15/16
US Classification:
707 10, 707 3, 7071041, 707201, 709201
Abstract:
A web-based customer lead harvesting system. The system is based on an application service model, with the programming for the system being accessible to users of the system via web browsers and the Internet. The users, who are typically business enterprises, may access the system to search unstructured Internet data to obtain leads for prospective customers. The system accepts criteria from the user that describes a type or types of potential customers, as well as addresses of Internet sites of interest. A crawler process retrieves the web site data, and stores the data in a web archive. A harvester process then searches the Internet data according to the client-provided criteria. The system returns the names or the identifying information about the prospect together with a link to the document that verifies the prospect's match to the criteria.
Prospects Harvester System For Providing Contact Data About Customers Of Product Or Service Offered By Business Enterprise Extracting Text Documents Selected From Newsgroups, Discussion Forums, Mailing Lists, Querying Such Data To Provide Customers Who Confirm To Business Profile Data
John C. Seibel - Austin TX, US Yu Feng - Maplewood NJ, US Robert L. Foster - Austin TX, US
Assignee:
ReachForce, Inc. - Austin TX
International Classification:
G06F 17/30 G06F 7/00 G06F 15/173 G06Q 40/00
US Classification:
707 5, 707102, 707200, 709225, 705 37
Abstract:
A system and method for providing profile data representing profiles of potential customers of a business enterprise. The system is based on an application service provider architecture, where the business enterprise accesses the profile data via the Internet using a web browser. The system is capable of using internal data of the business enterprise generated by a variety of accounting, sales, and enterprise planning tools.
Web-Based Customer Lead Generator System With Pre-Emptive Profiling
A web-based customer lead generator system. The system is based on an application service model, with the programming for the system being accessible to users of the system via web browsers and the Internet. The users are typically business enterprises that maintain e-commerce web sites. The pre-emptive profiling process searches the Internet to obtain email addresses of potential web site buyers. It performs a reverse look-up process to obtain demographic data about each potential buyer. This data is used to provide a purchasing profile of the buyer, which is then forwarded to the e-commerce business enterprise.
Text Mining System For Web-Based Business Intelligence
A text mining system for collecting business intelligence about a client, as well as for identifying prospective customers of the client, for use in a lead generation system accessible by the client via the Internet. The text mining system has various components, including a data acquisition process that extracts textual data from various Internet sources, a database for storing the extracted data, a text mining server that executes query-based searches of the database, and an output repository. A web server provides client access to the repository, and to the mining server.
Text Mining System For Web-Based Business Intelligence Applied To Web Site Server Logs
John C. Seibel - Austin TX, US Yu Feng - Maplewood NJ, US Robert L. Foster - Austin TX, US
Assignee:
ReachForce, Inc. - Austin TX
International Classification:
G06F 17/30
US Classification:
707 4, 707 6, 707 7, 707 10, 709203, 709217
Abstract:
A text mining system for collecting business intelligence about a client, as well as for identifying prospective customers of the client, for use in a lead generation system accessible by the client via the Internet. The text mining system has various components, including a data acquisition process that extracts textual data from Internet web sites, including their logs, content, processes, and transactions. The system compares log data to content and process data, and relates the results of the comparison to transaction data. This permits the system to provide aggregate cluster data representing statistics useful for customer lead generation.
Resumes
Msc In Advanced Mechanical Engineering At Imperial College London