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 taste
This is a project started at Yahoo! Research and continuing at Microsoft Research to design a fast, scalable, useful learning algorithm. VW is the essence of speed in machine learning, able to learn from terafeature datasets with ease. Via parallel learning, it can exceed the throughput of any single machine network interface when doing linear learning, a first amongst learning algorithms. We prim
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