On the other hand, people have successfully built recommendation engines on top of Lucene or Solr before, and I think Ted Dunning just mentioned this over on the Mahout ML a few weeks ago..... have a look at http://search-lucene.com/m/dbxtb1ykRkM though I think I recall a separate recent email where he was a bit more explicit about this.
Otis -- SOLR Performance Monitoring - http://sematext.com/spm/index.html Search Analytics - http://sematext.com/search-analytics/index.html On Sat, Nov 24, 2012 at 9:30 PM, Lance Norskog <goks...@gmail.com> wrote: > sagarzond- you are trying to embed a recommendation system into search. > Recommendations are inherently a matrix problem, where Solr and other > search engines are one-dimensional databases. What you have is a sparse > user-product matrix. This book has a good explanation of recommender > systems: > > Mahout In Action > http://manning.com/owen/ > > > > ----- Original Message ----- > | From: "Otis Gospodnetic" <otis.gospodne...@gmail.com> > | To: solr-user@lucene.apache.org > | Sent: Saturday, November 24, 2012 5:05:53 PM > | Subject: Re: User context based search in apache solr > | > | Hi, > | > | I don't have a full picture here, but why not just have userID = > | {list of > | clicked product IDs} stored somewhere (in memory, disk, DB...) and > | then, at > | search time, retrieve last N product IDs, run MLT query on those IDs, > | and > | then do whatever you desire to do... either take top N of those hits > | and > | slap them on top of regular results, or take top N of those and boost > | them > | in the main results, or ... if you are into this, you may find > | http://sematext.com/search-analytics/index.html very useful, or at > | least > | interesting. > | > | Otis > | -- > | SOLR Performance Monitoring - http://sematext.com/spm/index.html > | > | > | > | > | On Fri, Nov 23, 2012 at 12:56 AM, sagarzond <sagarz...@gmail.com> > | wrote: > | > | > In our application we are providing product master data search with > | > SOLR. > | > Now > | > our requirement want to provide user context based search(means we > | > are > | > providing top search result using user history). > | > > | > For that i have created one score table having following field > | > > | > 1)product_id > | > > | > 2)user_id > | > > | > 3)score_value > | > > | > As soon as user clicked for any product that will create entry in > | > this > | > table > | > and also increase score_value if already present product for that > | > user. We > | > are planning to use boost field and eDisMax from SOLR to improve > | > search > | > result but for this i have to use one to many mapping between score > | > and > | > product table(Because we are having one product with different > | > score value > | > for different user) and solr not providing one to many mapping. > | > > | > We can solved this issue (one to many mapping handling) by > | > de-normalizing > | > structure as having multiple product entry with different score > | > value for > | > different user but it result huge amount of redundant data. > | > > | > Is this(de-normalized structure) currect way to handle or is there > | > any > | > other > | > way to handle such context based search. > | > > | > Plz help me > | > > | > > | > > | > -- > | > View this message in context: > | > > http://lucene.472066.n3.nabble.com/User-context-based-search-in-apache-solr-tp4021964.html > | > Sent from the Solr - User mailing list archive at Nabble.com. > | > > | >
