Scalable cross domain recommendation system

Scalable cross domain recommendation system

A method for generating recommendation for a target domain based on data from other source domains is provided, comprising the steps of: aggregating data in each of said other domains; splitting said aggregated data to a train data set, a validation data set and a test data set; extracting patterns...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: DAYAN, AVIRAM, SHAPIRA, BRACHA, GROLMAN, EDITA, BAR, ARIEL, ROKACH, LIOR
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:A method for generating recommendation for a target domain based on data from other source domains is provided, comprising the steps of: aggregating data in each of said other domains; splitting said aggregated data to a train data set, a validation data set and a test data set; extracting patterns in each of said source domains; transferring said extracted patterns from said source domains to said target domain while testing different models and learning the best model; and generating recommendation for said target domain according to said learned best model.