I'm new to lucene/search engine , and have been struggling with these questions recently. I'd appreciate a lot of you could shed some light on this.
let's say I do a query on dog greyhound note that I did not quote them, i.e. this is not a phrase search. what happens under the hood ? which term does Lucene use to look up the inverted Index ? I read somewhere that Lucene uses the term with the higher IDF (i.e. the more distinguishing term), i.e. in this case "greyhound", but what about dog? does Lucene traverse down the doclist of "dog" at all? if I provide multiple terms in my query, generally how does Lucene decide how many doclists to travel down? I read that Lucene uses a combination of "binary model" and VSM, then it seems that in the above case, it finds the full doclist of dog , and that of "greyhound", (the binary model part), then find the common docs from the two doclists, then order them by scores ( the VSM part). is it true that the FULL doclists are fetched first? or is some pruning done on the individual doclists? I see the talk in http://www.slideshare.net/abial/eurocon2010 that talks about pruning and tiered search, but is this the default behavior of Lucene? how are the doclists sorted? (by idf ?? --- sorry I'm just beginning to sift through a lot of docs online, somehow got this impression but can't form a precise conclusion) also generally, could you please provide some good articles on how lucene/search engines work? I've read the "anatomy of a search engine" (google Sergey Brin & Larry Page paper), "introduction to information retrieval (Manning et al ) " , "Lucene in action" .... Thanks Yang --------------------------------------------------------------------- To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org For additional commands, e-mail: java-user-h...@lucene.apache.org
