Gabe,
Thanks for the tip. That's more or less how I am doing things now, but it doesn't seem to boost anything. I guess that if you could do a range query with a preferred value, the scoring could give things that have values closer to that preferred value more weight. However, it seems that this is not currently possible in Lucene (and please, correct me if I'm wrong).
Thanks, Martin
Gabe wrote:
I don't think you can do this continuously, but this might be possible to do by setting up "regions" of how far away the person is. I'm not using real lats and longs here, but say you want to search within 5 points of lat=5; long=6. You could set up your search as:
+((lat:[0 TO 10] and long:[1 TO 11]) (lat:[1 TO 9] and long:[2 TO 10]) (lat:[2 TO 8] and long:[3 TO 9]) ... (lat:5 and long:6))
Hairy yes, but I *believe* looking at how scoring works that (assuming all other terms had boost factors of 0), that those docs which were closer would match more terms and thus be scored higher. Not positive but it's something to play with.
Gabe
--- Martin May <[EMAIL PROTECTED]> wrote:
---------------------------------------------------------------------Hi everybody,
I have some questions concerning using Lucene for Geo-searching. I have a bunch of documents (> 100,000) in the index that all have a latitude and longitude associated with them.
I wanted to be able to search within a certain radius of a point of origin, which I accomplished by applying some filters on the search that restrict what values lat/long can take.
So far so good. What I would like to be able to do now is factor in the distance from the point of origin in the scoring, i.e. give documents that are closer to the point of origin a boost.
Simply sorting by distance won't cut it, because there are other relevance factors affecting the ranking. Is there any good (easy & efficient) way to do this?
Thanks,
Martin
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