Hello there, Recently I was trying to implement the bag-of-words model for image retrieval by using Solr. Shortly this model consists of extracting "visual words" from images and then use tf-idf schema for fast querying (usually include also re-ranking stage). I found solr as a suitable platform (hope i'm not wrong), as it provides tf-idf ranking.
Currently i'm issuing the following problem : My images usually contains about 1,000 words, so it means the query consists of 1,000 terms. When using simple select query with 1,000 OR i get a very long response time (100s for index with 2M images). Is there an efficient way to build the query in this case ?
