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Using evaluating environment for Itemprediction with further informations. #462
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Hi Alexander, Modelling context (like weather) is currently not directly supported by It could be added, though. One question, why is the current weather represented as a list? By the way, LibFM does model context in a very nice way -- check it out: Cheers, On Tue, Jan 5, 2016 at 5:40 PM, aoberegg [email protected] wrote:
MyMediaLite Recommender System Library: http://mymedialite.net |
Ok thanks for your reply. Weather is in that case represented as a list of current temperature, precip intensity, windspeed,... |
OK. Then a nice, flexible API would be a list of fixed lenght containing Would that make sense? Z. On Tue, Jan 5, 2016 at 6:07 PM, aoberegg [email protected] wrote:
MyMediaLite Recommender System Library: http://mymedialite.net |
That's exactly what I would need yes. In my case it would be: On the other hand it would also be possible to hand the time and geolocation so that I can look up the weather data in a database. With that approach it's not fixed to weather data and maybe it would offer more flexibility for other contexts. |
Hey guys!
I'm currently working on a recommender that includes the impact of weather conditions on item choosing. Therefore I'd like to use the Evaluation of the ItemRecommender engine of MyMediaLite to test my recommender. For this reason I'd need a testing environment that calls a function like:
IList<Tuple<int, float>> Recommend(int user_id, IList current_weather, int n = -1,
ICollection ignore_items = null,
ICollection candidate_items = null);
this. So for giving a recommendation I'd need the current weather situation. Is that somehow possible with MyMediaLite?
Best regards,
Alexander Oberegger
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