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Karl Wettin commented on LUCENE-625: ------------------------------------ bq. Karl, did you ever proceed on this patch? I'm interested in adding autosuggest to Solr. I used this patch for a few things a couple of years ago. If I recall everything right I ended up using the bootstrapped apriori corpus of LUCENE-626 as training data the last time. Made the corpus rather small, speedy and still relevant for most users. But the major caveat is that this patch is a trie and is thus a "precise forward only" thing. So that might not fit all use cases. It might be easier to get things going using an index with ngrams of untokenized user queries (i.e. including whitespace) or subject-like fields. But I really prefere user queries as using only the last n queries will make it sensitive to trends. That will however require quite a bit of data to work well. A lot as in hundreds of thousands of user queries, according to my experience. Not sure if this was an answer to your question.. : ) > Query auto completer > -------------------- > > Key: LUCENE-625 > URL: https://issues.apache.org/jira/browse/LUCENE-625 > Project: Lucene - Java > Issue Type: New Feature > Components: Search > Reporter: Karl Wettin > Priority: Minor > Attachments: autocomplete_0.0.1.tar.gz, autocomplete_20060730.tar.gz > > > A trie that helps users to type in their query. Made for AJAX, works great > with ruby on rails common scripts <http://script.aculo.us/>. Similar to the > Google labs suggester. > Trained by user queries. Optimizable. Uses an in memory corpus. Serializable. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online. --------------------------------------------------------------------- To unsubscribe, e-mail: java-dev-unsubscr...@lucene.apache.org For additional commands, e-mail: java-dev-h...@lucene.apache.org