You might want to use TanimotoCoefficientSimilarity if your data set isn't
large.
On Jul 27, 2011 10:51 AM, "Sean Owen" <[email protected]> wrote:
> Sounds good. In that case, the surprise-n-coincidence counterpart you are
> probably looking for it LogLikelihoodSimilarity, which implements
> ItemSimilarity. Use it with a GenericBooleanPrefItemBasedRecommender and
you
> can recommend new words to use.
>
> On Wed, Jul 27, 2011 at 9:01 AM, Ted Dunning <[email protected]>
wrote:
>
>> Actually, I think that recommending words to people and then doing the
>> search may add some mileage.
>>
>> On Wed, Jul 27, 2011 at 12:38 AM, Sean Owen <[email protected]> wrote:
>>
>> > It's just a search problem as Ted says -- minus
>> > even the recommendation phase.
>> >
>> > Is that all you want? then try Lucene, probably.
>> >
>>
