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I am surprised that there is no mention of this in the course syllabus -- in fact it looks like a lot of recent techniques that are missing. They don't even talking about LSA(/SVD)-based methods until the end of the course.

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Dumb, general question: should it really be a surprise that an Introduction course doesn't use all the recent techniques?

I guess I often assume that topics classes like these assume some sort of background in machine learning. Perhaps that's not the case.

LSA and truncated SVDs on a user-item matrix date back to the 1980s, don't they?

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