This can work just fine. Basically, you are precomputing the results of a similar document search. Naive implementation of similar document search can be relatively slow, but it can be sped up dramatically by simply using a filter to pull the most interesting terms out of a document before doing the search.
Once you do that, then it doesn't make a lot of sense to do the searches ahead of time, especially if you cache the results of the real-time search. On Thu, Jul 23, 2009 at 10:41 AM, Claudia Grieco <[email protected]>wrote: > Item-based recommenders can be initialized with pre-computed item-item > similarities, right? And what if those item similarities are computed using > a Content Based technique (example off the top of my head, Cosine distance > between the text of two documents computed using Lucene)? Am I missing > something? > -- Ted Dunning, CTO DeepDyve
