algorithm - locality sensitive hashing for infinite feature space -


i'm trying wrap head around locality-senstive hashing in case when can not enumerate possible features (e.g. facebook likes when comparing users). there solutions adressing problem?

the locality-sensitive hashing algorithms i've seen far depend on finite vectors of length k k total number of features (e.g. words). in case, not know total set of features beforehand, still want find n-nearest neighbours new item in database. given targeted size of database, re-calculating pairwise similarity each insert not feasible.

how can tackle problem? has encountered similar problem , found solution?


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