International Business Machines Corporation

Yahoo! Inc.

Julia Stoyanovich

Guy Maring Lohman

Nimrod Megiddo

Wei Fan

David Everett Simmen

Bo Pang

Volker Gerhard Markl

Sihem Amer-Yahia

Jun Rao

Evgeniy Gabrilovich

Cong Yu

Systems and methods are provided for determining items or people of potential interest to recommend to users in a computer-based network. Implied social networks may be determined based at least in part on obtained social behavior information. Items or people of potential interest to users may be determined based at least in part on implied social network information. Vocabulary taxonomies may be associated with, or used in determining, implied social networks.

Social behavior analysis and inferring social networks for a recommendation system

A method and system for automatically and adaptively determining query execution plans for parametric queries. A first classifier trained by an initial set of training points is generated. A query workload and/or database statistics are dynamically updated. A new set of training points is collected off-line. Using the new set of training points, the first classifier is modified into a second classifier. A database query is received at a runtime subsequent to the off-line phase. The query includes predicates having parameter markers bound to actual values. The predicates are associated with selectivities. A mapping of the selectivities into a plan determines the query execution plan. The determined query execution plan is included in an augmented set of training points, where the augmented set includes the initial set and the new set.

Automatically and adaptively determining execution plans for queries with parameter markers

Growing community of inventors

New York, NY, United States of America

Julia Stoyanovich