Role of emotional features in collaborative recommendation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6611 LNCS, Issue , 2011, Pages 738-742

  Moshfeghi, Yashar ^a   Jose, Joemon M ^a  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION RETRIEVAL;

COLLABORATIVE RECOMMENDATION; MOVIE REVIEWS; MOVIELENS;

COLLABORATIVE FILTERING;

EID: 84990009400     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-20161-5_83     Document Type: Conference Paper

References (5)

1. Arapakis, I., Jose, J.M., Gray, P.D.: Affective feedback: an investigation into the role of emotions in the information seeking process. In: SIGIR 2008, pp. 395–402 (2008)
2. Shaikh, M.A.M., Prendinger, H., Ishizuka, M.: A Linguistic Interpretation of the OCC Emotion Model for Affect Sensing from Text. Affective Information Processing, 45–73 (2009)
3. Moshfeghi, Y., Agarwal, D., Piwowarski, B., Jose, J.M.: Movie Recommender: Semantically Enriched Unified Relevance Model for Rating Prediction in Collaborative Filtering. In: Boughanem, M., Berrut, C., Mothe, J., Soule-Dupuy, C. (eds.) ECIR 2009. LNCS, vol. 5478, pp. 54–65. Springer, Heidelberg (2009)
4. Wang, J., de Vries, A.P., Reinders, M.J.T.: Unified relevance models for rating prediction in collaborative filtering. ACM TOIS, 1–42 (2008)
5. Ortony, A., Clore, G., Collins, A.: The cognitive structure of emotions. Cambridge University Press, Cambridge (1990)