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Method and System for Providing a Multi-Language Auto-Recommend Reading System

IP.com Disclosure Number: IPCOM000237668D
Publication Date: 2014-Jul-02
Document File: 1 page(s) / 22K

Publishing Venue

The IP.com Prior Art Database

Related People

Hank Hsiao: INVENTOR

Abstract

A method and system is disclosed for providing a reading system to automatically recommend users articles or content in similar topics but in different languages. The recommendation to the users is based on reading habits of a user. Additionally, the method and system translates the recommended articles or content to user preferred languages.

This text was extracted from a Microsoft Word document.
This is the abbreviated version, containing approximately 68% of the total text.

Method and System for Providing a Multi-Language Auto-Recommend Reading System

Abstract

A method and system is disclosed for providing a reading system to automatically recommend users articles or content in similar topics but in different languages.  The recommendation to the users is based on reading habits of a user.  Additionally, the method and system translates the recommended articles or content to user preferred languages.       

Description

Disclosed is a method and system for providing a reading system to automatically recommend users articles or content in similar topics but in different languages.  The recommendation to the users is based on reading habits of a user.  Additionally, the method and system translates the recommended articles or content to user preferred languages.

In accordance with the method and system, a multi-language content database is provided.  The database may be one or more of, but not limited to, a multi-language article database, a multi-language book database, a multi-language knowledge database.  A user may read one more contents of the multi-language content database using a content reader.  The content reader displays the content to the user and a summary of other related content.  A keyword extractor is invoked when the user reads from the content reader.  The keyword extractor extracts keywords from the content read by the user.  The keywords are used to understand reading habits of the user.  The keywords are tran...