We handled similar requirement in our product kitchendaily.com by creating a list of Search terms which were frequently searched over a period of time and then building auto-suggestion index from this data. The constant updates of this will allow you to support a well formed auto-suggest feature. This is a good and faster solution if you have application logs to start with and not very high volume of data.
Or you can search Solr with the user entered data, which returns all the matching results and boost the data by field which will be used in AutoSuggest box, use top 5 items in the dynamic div. Hope it Helps. -param On 8/4/11 11:42 AM, "Shawn Heisey" <s...@elyograg.org> wrote: > I'm at the point in my Solr deployment where I want to start using it > for autosuggest, but I've run into a snag. Because the fields that I > want to use for autosuggest are tokenized, I can only get single terms > out of it. I would like to have it find common phrases that are between > two and five words long, so that if someone starts typing "ang" their > autosuggest list will include "Angelina Jolie" as well as possibly "Brad > Pitt and Angelina Jolie." > > My index is already quite large, so I do not want to add shingles. I > tried to use the clustering component, but that will only give you > halfway decent results if you make the "rows=" parameter absolutely huge > and therefore things run very slowly. Also, it only works against > stored fields, so I can only run it against the field where we retrieve > captions, not the full description. It's impractical to get results > based on an entire index, much less all seven shards. > > I'm OK with offline analysis to generate a list of suggestions, and I'm > also OK with doing that analysis against the MySQL data source rather > than Solr. I just need some pointers about what software and/or > techniques I can use to generate a good list, and then some idea of how > to configure Solr to use that list. Can anyone help? > > Thanks, > Shawn >
