Ah, Interesting... I didnt think of that! I will try it and report back
pjaol wrote: > > Why not put the keywords into the same document as another field? and > search > both fields > at once, you can then use lucene syntax to give a boosting to the keyword > fields. > e.g. > body:A good game last night by the redskins > keyword: redskins > > Query= body:(game OR redskins) keyword:(game OR redskins)^10 > > And adjust the boosting until you're happy. > Check out for querying multiple fields > http://wiki.apache.org/lucene-java/LuceneFAQ#head-300f0756fdaa71f522c96a868351f716573f2d77 > > You might even want to consider Solr and it's dismax search component > http://wiki.apache.org/solr/DisMaxRequestHandler > to make it easier > > > > > On Fri, Apr 17, 2009 at 11:19 AM, theDude_2 <aornst...@webmd.net> wrote: > >> >> I appreciate your response, and read the wiki article concerning the >> Federated search >> and >> >> I'm not sure that my project falls into the "Federated Search" bucket... >> >> What I've done is created 2 indexes created with the same documents. >> One index, contains the full documents - great for pure relevancy search >> The second index: contains all of the same documents, but a small subset >> of >> each documents contents - only allowing words to be indexed that we deem >> as >> "good words" - >> >> (for example) if this was a football article database >> Index 1: would index 100% of the article about the Redskins and the New >> York >> Giants >> Index 2: would index the same article by only the "good words" in the >> document like Redskins, Giants, Quarterback, Linebacker, etc. >> >> What I'm trying to do, if it's even possible! is run the search on both >> indexes containing references to the same article, and multiple the >> scores >> together to get a final score that would represent something like a >> "relative AND good word" score.... >> >> Figuring that if a user searches on "Who is the Quarterback for the >> Giants" >> this will get the user an article that is both related to the query, and >> deemed "important" to the query... >> >> I will look further into federated search and related items, but I think >> that lucene probably wont be able to help me with this, am I right? >> >> >> >> >> >> >> >> >> ------------ >> >> pjaol wrote: >> > >> > I'd start by doing some research on the question rather than asking for >> a >> > solution.. >> > What your asking for can be considered 'Federated Search' >> > http://en.wikipedia.org/wiki/Federated_search >> > >> > And it can be conceived in as many ways as you have document types. Any >> > answer will probably end up >> > customized and weighted by your document silo value, usually companies >> > weight those by business rules >> > rather than head down the path of federated search, as it's just >> quicker >> > and >> > cheaper, and you can accomplish more. >> > e.g >> > Medication = score *2 (as higher advertising incentives) >> > Diseases = score >> > Books = score * 0.75 ( thousands of books, which nobody buys etc..) >> > >> > You might also want to try consolidating your data into 1 schema, and >> > consider layering or collapsing results >> > based on type. >> > >> > P >> > >> > On Fri, Apr 17, 2009 at 10:39 AM, theDude_2 <aornst...@webmd.net> >> wrote: >> > >> >> >> >> (bump) - any thoughts? >> >> ---- >> >> >> >> >> >> >> >> theDude_2 wrote: >> >> > >> >> > hi! >> >> > >> >> > I am trying to do something a little unique... >> >> > >> >> > I have a 90k text documents that I am trying to search >> >> > Search A: indexes and searches the documents using regular relevancy >> >> > search >> >> > Search B: indexes and searches the documents using a smaller subset >> of >> >> > "key" words that I have chosen >> >> > >> >> > This gives me 2 seperate scores: Score A, and Score B... >> >> > >> >> > I am trying to show the top 10 results of the scores combined so.... >> >> > >> >> > FinalScoretextDoc = (scoreA_of_td1 * 0.5) * (scoreB_of_td1 * 0.5) >> >> > >> >> > While it seems straightforward, I do not want to calculate the >> scores >> >> of >> >> > all the documents outside of lucene. How can I integrate this >> better >> >> into >> >> > the lucene search engine? Is this possible to do by any simple >> means? >> >> > >> >> > Thanks guys + gals! >> >> > >> >> > >> >> >> >> -- >> >> View this message in context: >> >> >> http://www.nabble.com/A-Challenge%21%3A-Combining-2-searches-into-a-single-resultset--tp23085506p23098961.html >> >> Sent from the Lucene - Java Users mailing list archive at Nabble.com. >> >> >> >> >> >> --------------------------------------------------------------------- >> >> To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org >> >> For additional commands, e-mail: java-user-h...@lucene.apache.org >> >> >> >> >> > >> > >> >> -- >> View this message in context: >> http://www.nabble.com/A-Challenge%21%3A-Combining-2-searches-into-a-single-resultset--tp23085506p23099744.html >> Sent from the Lucene - Java Users mailing list archive at Nabble.com. >> >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org >> For additional commands, e-mail: java-user-h...@lucene.apache.org >> >> > > -- View this message in context: http://www.nabble.com/A-Challenge%21%3A-Combining-2-searches-into-a-single-resultset--tp23085506p23100423.html Sent from the Lucene - Java Users mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org For additional commands, e-mail: java-user-h...@lucene.apache.org
