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 > >
