Right, he has talked about this in various ways. But the key is take the user-item matrix in full and generate a new data model for recommendation. These approaches shove that datamodel into the search index. It is a batch process.
LucidWorks does this for search clicks. ----- Original Message ----- | From: "Otis Gospodnetic" <otis.gospodne...@gmail.com> | To: solr-user@lucene.apache.org | Sent: Saturday, November 24, 2012 7:39:04 PM | Subject: Re: User context based search in apache solr | | 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. | > | > | > | | > |
