- Seattle WA, US Mario Raymond GERARD - Seattle WA, US Aaron Clark GRIFFITH - Kent WA, US Yu Wu - Issaquah WA, US Nathan Kent ROZENDAAL - Tacoma WA, US Benyi WANG - Issaquah WA, US
International Classification:
G06F 17/30 H04L 29/06
Abstract:
The present systems and methods relate to a concept for providing recommendations targeted to particular, “subject” user. The present systems and methods involve obtaining historical usage data associated with the subject user; identifying candidate users; calculating media preference overlap scores with respect to the subject user and each candidate user; ranking the candidate user according to their preference overlap scores, and generating recommendations for the subject user from the historical usage data associated with the candidate users.
Media Preference Affinity Recommendation Systems And Methods
- Seattle WA, US Mario Raymond GERARD - Seattle WA, US Aaron Clark GRIFFITH - Kent WA, US Yu Wu - Issaquah WA, US Nathan Kent ROZENDAAL - Tacoma WA, US
International Classification:
G06F 17/30
Abstract:
The present systems and methods relate to a concept for providing media recommendations targeted to particular, “subject” user. The present systems and methods involve obtaining historical usage data associated with the subject user; identifying candidate users; calculating media preference overlap scores with respect to the subject user and each candidate user; ranking the candidate user according to their media preference overlap scores, and generating recommendations for the subject user from the historical usage data associated with the candidate users.
Graph-Based Music Recommendation And Dynamic Media Work Micro-Licensing Systems And Methods
- Seattle WA, US Mario Raymond GERARD - Seattle WA, US Darryl William WOOD - Tacoma WA, US Aaron Clark GRIFFITH - Kent WA, US Yu Wu - Issaquah WA, US Nathan Kent ROZENDAAL - Tacoma WA, US
International Classification:
G06F 17/30
Abstract:
Provided herein are systems and methods for generating a set of recommended media works based on an identified seed media work. The seed media work is used to identify a set of co-occurring media works, which are defined as media works that have been intentionally interacted with within a predetermined time window as the seed media work by a single user. After the co-occurrence set is created, it is ranked and filtered. Media works identified in the co-occurrence set may then be selected based on their ranking.