A content boosted collaborative filtering approach for movie recommendation based on local & global similarity and missing data prediction

Özbal G., Karaman H., ALPASLAN F. N.

25th International Symposium on Computer and Information Sciences, ISCIS 2010, London, İngiltere, 22 - 24 Eylül 2010, cilt.62 LNEE, ss.109-112 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 62 LNEE
  • Doi Numarası: 10.1007/978-90-481-9794-1_22
  • Basıldığı Şehir: London
  • Basıldığı Ülke: İngiltere
  • Sayfa Sayıları: ss.109-112
  • Anahtar Kelimeler: Collaborative Filtering, Floyd Warshall Algorithm, Pearson Correlation Coefficient, Recommender Systems
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

Many recommender systems lack in accuracy when the data used throughout the recommendation process is sparse. Our study addresses this limitation by means of a content boosted collaborative filtering approach applied to the task of movie recommendation. We combine two different approaches previously proved to be successful individually and improve over them by processing the content information of movies, as confirmed by our empirical evaluation results. © 2011 Springer Science+Business Media B.V.