This document summarizes a presentation about using online machine learning with Jubatus for a real estate search service called SUUMO. Toru Shimogaki from NTT DATA Corporation presented on how SUUMO uses Jubatus classifier and multidimensional scaling to learn users' preferences and provide personalized search results. The system presents users with two candidate properties and learns their tastes based on their selections. It combines Jubatus, which responds quickly to user clicks, with multidimensional scaling to map properties and allow efficient searching. The goal is to better serve first-time and mobile users by navigating searches and efficiently gaining their preferences.
6. “SUUMO” Real-Estate Service : Customer Reach and Brand Awareness
Compared to our competitors , ”SUUMO” has the largest customer reach and has scored highest in
brand awareness.
Customer reach (Unique Users)
(Million)
Brand awareness
(%)
9.9
64.3
5.2
4.7
2.6
4.7
SUUMO
A
Real estate
B
C
SUUMO
4.4
9.2
A
B
C
Aided SUUMO awareness
SUUMO UU
77.2%
9.9million /month
Awareness of Character 【SUUMO】
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87.6%
6