Scoring candidates for set recommendation problems

US10115146B1 · kind B1 · utility

Assignee

• Google LLC · US

Inventors

• John Roberts Anderson · San Anselmo, US
• Ryan M. Rifkin · Oakland, US
• Jay Yagnik · Mountain View, US
• Rasmus Larsen · San Jose, US
• Sarvjeet Singh · Palo Alto, US
• Yi-Fan Chen · Beijing, CN
• Anandsudhakar Kesari · Santa Clara, US

Key dates

• Filing date: Apr 16, 2015
• Grant date: Oct 30, 2018
• Expiry date: Sep 28, 2036

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q30/02
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

Implementations include systems and methods for scoring candidates for set recommendation problems. An example method includes repeating, for each code in code arrays for items in a set of items, determining a most common value for the code. In some implementations, the method includes determining that the most common value occurs with a frequency that meets an occurrence threshold and adding the code and the most common value to set-inclusion criteria. In other implementations, the method includes determining a value for the code from a code array for a seed item and adding the code and the most common value to set-inclusion criteria when the value for the code from the code array for the seed item matches the most common value. The method may also include evaluating a similarity with a candidate item based on the set-inclusion criteria and basing a recommendation regarding the candidate item on the similarity.