Large scale entity-specific resource classification

US9317613B2 · kind B2 · utility

Assignee

• YAHOO HOLDINGS, INC. · US

Inventors

• Sathiya Keerthi Selvaraj · Cupertino, US
• Philip Bohannon · Maple Shade, US
• Mridul Muralidharan · Savanuru, IN
• Cong Yu · Ann Arbor, US
• Ashwin Machanavajjhala · Baltimore, US
• Arun Shankar Iyer · Thane, IN
• Sundararajan Sellamanickam · Bengaluru, IN

Key dates

• Filing date: Apr 21, 2010
• Grant date: Apr 19, 2016
• Expiry date: Sep 29, 2032

Classification

• Technology area (CPC G): Physics
• CPC primary: G06F16/9535
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A system and method is described for large scale entity-specific classification of each entity-specific set of candidates in a collection of candidates for each specific entity in a collection of entities. The collection of entities may comprise a specific category or domain of entities (e.g. schools, restaurants, manufacturers, products, events, people). Candidates may comprise webpages or other resources with resource identifiers. Entity specific sets of candidates may be found by leveraging search engine query results and user interaction therewith for queries based on entity-specific attributes. The relationship(s) or class(es) for which candidate resources are being classified relative to a specific entity may comprise an authoritative, official home page (OHP), or other class (e.g. fan page, review, aggregator) relative to a specific entity. A feature generator generates entity-specific features for candidates. In accordance with its features, one or more classifiers rank each candidate for a specific class for a specific entity.