Hi Milan, I have three ideas:
1. Boost by log(weight) instead of just by weight. This would reduce weight-to-weight ratios and so reduce the likelihood of hit list domination, while still retaining the user's relative preferences. Multiple log applications will further decrease the weight-to-weight ratios and thus increase variety. 2. Take the top N topics by weight, thresholding either by some arbitrary weight or at some arbitrary N, and then boost those N topics equally. This would increase variety at the expense of ignoring the user's minor interests. 3. Just apply a fixed boost to all of the user's interests and ignore their associated weights. (This is equivalent to taking strategy #1 to the limit.) Steve > -----Original Message----- > From: Milan Dobrota [mailto:mi...@milandobrota.com] > Sent: Tuesday, October 04, 2011 12:56 PM > To: solr-user@lucene.apache.org > Subject: Suggestions feature > > I am working on a feature similar to Youtube suggestions (where the > videos are suggested based on your viewing history). > What I do is parse the history and get the user's interests, in the form > of weighted topics. When I boost according to those interests, the dominant > ones take over the result list. > > Is there any way to use the boost so that there is some variety in the > results? > > Thanks > Milan
