Chinese Portrait Paintings by Ji Jianghong

By Ji Jianghong

Over one thousand masterworks depict the heritage of chinese language portray shape prehistory to Qing Dynasty. This sequence contains 3 books: Flower & fowl portray, panorama portray and Portrait portray.

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This chapter investigates three types of recommendation systems (shown in Figures 9, 10, and 11). Fig. 9 Content-meta-based search Fig. 10 Context-aware search Fig. 11 User-preference-based search 2 Cross-category Recommendation for Multimedia Content 41 1) Content-meta-based Search In content-meta-based search, users can acquire relevant content by querying for keywords or features. The content data are initially indexed based on keywords or features by employing a content profiling process.

1) VSM One of the simplest approaches for similarity calculation is using the VSM. This model measures the distance between vectors. The most practical distance measure is the cosine distance, as shown in Figure 7. For example, user preference (UP) and Fig. 7 Example of Similarity in VSM 38 N. Kamimaeda et al. content profile (CP) are expressed as an n-dimensional feature vector in the VSM. c1 ; c2 ; ; ; cn / contents profile vector 2) NB Classifier NB is a probabilistic approach to classify data or infer a hypothesis.

P. 393-399. 6. D. O’Sullivan, B. Smyth, D. C. Wilson, K. McDonald, and A. Smeaton, “Improving the Quality of the Personalized Electronic Program Guide,” User Modeling and User Adapted Interaction;Vol. 14, No. p. 5-36. 7. S. Gutta, K. Kuparati, K. Lee, J. Martino, D. Schaffer, and J. p. 1121-1122. 8. P. Resnick, N. Iacovou, M. Suchak, P. Bergstrom, and J. p. 175-186. 1 Personalized Movie Recommendation 25 9. J. Konstan, B. Miller, D. Maltz, J. Herlocker, L. Gordon, and J. Riedl, “GroupLens: Applying Collaborative Filtering to Usenet News,” Communications of the ACM, Vol.

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