Sam I think you'll have to be clearer about what you are doing. *Nothing* works with *no* data input at all, of course. Your last question makes me think you are trying to feed no data at all to the system and expect a result.
"Preferences" here mean something like ratings. Is that what you mean? mostSimilarItems() does not deal directly with this data so does not care. It depends what ItemSimilarity you are using. If your ItemSimilarity does not work correctly without preference data, no, mostSimilarItems() won't work. But like we already pointed out, that would be an issue with your implementation, which you have not said anything about. On Mon, Sep 27, 2010 at 8:08 AM, Sam Yang <[email protected]> wrote: > I still get no results when GenericItemBasedRecommender.mostSimilarItems(),and > my ItemSimilarity works well. > Does GenericItemBasedRecommender.mostSimilarItems() works without preference > data? > Tim said: > "As Sebastian pointed out, you could start out by making recommendations > strictly on content-based similarities (such as the output from a More Like > This query in Lucene) and then introduce recommendations based on > collaborative filtering as your user-item interaction data grows." > Do I get the similar items with other tool.like Lucene,can Mahout do it > without preference data at start? > > On Mon, Sep 27, 2010 at 2:59 PM, Sean Owen <[email protected]> wrote: > >> OK, so that issue was fixed. What is your current issue then? >> >> On Mon, Sep 27, 2010 at 3:37 AM, Sam Yang <[email protected]> wrote: >> > And it's like this issue: >> https://issues.apache.org/jira/browse/MAHOUT-367 >> > > > > -- > I'm samsam. >
