I would like to find the singular vectors of an item-item data model. That is, the largest singular vector has many items "close" to it, and items at the ends are polar opposites in popularity. For example, the Netflix dataset yielded chick flicks v.s. Star Trek movies and Harry Potter v.s. (Stanley Kubrick, maybe?).
To do this requires a matrix that then supplies these singular vectors. Which recommendation data structures or operations, or combinations thereof, can create a such a matrix? (This is what MAHOUT-752 does.) -- Lance Norskog [email protected]
