trimming the post further: On 9/18/05, James Huang <[EMAIL PROTECTED]> wrote: > > >The problem is quite generic, I believe. What I like to do is similar to > LIA-ch6, i.e. to find a "good Chinese Hunan-style restaurant near me." I > prefer Hunan-style; however, if a good Human-style one is 12 miles, where > there is a Shanghai-style only 2 miles, I may want to take that instead. So > it's not a simple multi-sorting problem, it's an empirical ordering and the > parameters may have to be experimented. Thus far, I'm happy with that > formula I gave earlier.
Now I have to find a way to customize the scoring during search (using Hits, > not customized HitsCollector). Help is desparately needed here! > /*************************************************************************************/ The typical approach (from what I know) to implementing an affect on scoring is to do field boosting. The difficulty in this scenario is the distance factor, which sounds as if it's determined at run-time, plus the trickiness of field boosting based on the values of the field. I've looked at this as well, and it's not a simple problem to solve. How are you determining if something is "near me"? Is it a calculation at run-time, i.e. latitude, longitude, and geometric math? What options do you have to determine distance?
