Hi David, I think this is where search analytics can help. If your intuition is right and people who search for "doll" are not actually searching for "doll face..." CD, then search analytics will confirm that. This analytics I'm talking about involves search and click tracking and analysis. Once you have this data you can play with boosting queries, altering queries, etc. based on this "historical knowledge" about what people who searched for X tend to do after the search.
Otis -- Solr & ElasticSearch Support http://sematext.com/ On Wed, Jan 16, 2013 at 9:51 PM, David Parks <davidpark...@yahoo.com> wrote: > My issue is more that the search term doll shows up in both documents on > CDs > as well as documents about toys. But I have 10 CD documents for every toy > document, so my searches for "doll" tend to show the CDs most prominently. > But that's not the way a user thinks. If they want the CD documents they'll > search for "doll face", or "doll face song", more specific queries (which > work fine), but if they want the toy they might just search for "doll". > > If I run the searches "doll" and "doll song" on google image search you'll > clearly see that google has solved this problem perfectly. "doll" returns > toy dolls, and "doll song" returns music and anime results. > > I'm striving for this type of result. > > > > -----Original Message----- > From: Amit Jha [mailto:shanuu....@gmail.com] > Sent: Wednesday, January 16, 2013 11:41 PM > To: solr-user@lucene.apache.org > Subject: Re: Search strategy - improving search quality for short search > terms such as "doll" > > Its all about the data data set, here I mean index. If you have documents > containing "toy" and "doll" it will return that in result set. > > What I understood that you are talking about the context of the query. For > example if you search "books on MK Gandhi" and "books by MK Gandhi" both > queries have different context. > > Context based search at some level achieved by natural language processing. > This one you can look at for better search. > > Look for solr wiki & mailing list would be great source of learning. > > > Rgds > AJ > > On 16-Jan-2013, at 15:10, "David Parks" <davidpark...@yahoo.com> wrote: > > > I'm a beginner-intermediate solr admin, I've set up the basics for our > > application and it runs well. > > > > > > > > Now it's time for me to dig in and start tuning and improving queries. > > > > > > > > My next target is searches on simple terms such as "doll" which, in > > google, would return documents about, well, "toy dolls", because > > that's the most common usage of the simple term "doll". But in my > > index it predominantly returns documents about CDs with the song "Doll > > Face", and "My baby doll" in them. > > > > > > > > I'm not directly asking how to solve this as much as I'm asking what > > direction I should be looking in to learn what I need to know to > > tackle the general issue myself. > > > > > > > > Left on my own I would start looking at categorizing the CD's into a > > facet called "music", reasonably doable in my dataset. Then I need to > > reduce the boost-value of the entire facet/category of music unless > > certain pre-defined query terms exist, such as [music, cd, song, > > listen, dvd, <analyze actual user queries to come up with a more > exhaustive list>, etc.]. > > > > > > > > I don't yet know how to do all of this, but after a couple more good > > books I should be "dangerous". > > > > > > > > So the question to this list: > > > > > > > > - Am I on the right track here? If not, can you point me in a > > direction to go? > > > > > > > > > > > >
