Improving Re-rankCCP with Rules Quality Measures

• Autorzy: Jezusek Piotr , Karpus Aleksandra

Identyfikatory

DOI

10.15439/2022F127

• Języki publikacji: EN

Abstrakty

EN

Recommender Systems are software tools and techniques which aim at suggesting new items that may possibly be of interest to a user. Context-Aware Recommender Systems exploit contextual information to provide more adequate recommendations. In this paper we described a modification of an existing contextual post-filtering algorithm which uses rules-like user representation called Contextual Conditional Preferences. We extended the algorithm by taking into account rules quality measures while recommending items to a user. We proved that this modification increases the quality of recommendations, measured with precision, recall and nDCG, and has no impact on the execution time of the original algorithm.

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2022
• Tom: Vol. 30
• Strony: 61--71
• Opis fizyczny: Bibliogr. 23 poz.

Twórcy

autor

Jezusek Piotr

autor

Karpus Aleksandra