Improving Re-rankCCP with Rules Quality Measures - Publication - Bridge of Knowledge

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Improving Re-rankCCP with Rules Quality Measures

Abstract

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.

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Details

Category:
Conference activity
Type:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Language:
English
Publication year:
2022
Bibliographic description:
Jezusek P., Karpus A.: Improving Re-rankCCP with Rules Quality Measures// / : , 2022,
DOI:
Digital Object Identifier (open in new tab) 10.15439/2022f127
Sources of funding:
  • Statutory activity/subsidy
Verified by:
Gdańsk University of Technology

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