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A Content-Based Approach to Recommend TV Programs Enhanced with Delayering Tagging
Fulian Yin,Xingyi Pan,Huixin Liu,Jianping Chai 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.9
In response to explore how to extract the recommended items' features, a method is put forward called a Content-based TV Program Recommendation Approach Enhanced with Delayering Tagging. The Content-based approach is optimized to recommend TV programs and improved the way to extract the recommended items' features. Besides, the existing way of using supervised method to build user modeling is replaced with an unsupervised method using delayering tagging to show recommended TV program's content features and set up user preference model. After compared with Latent Factor Model and Collaborative Filtering recommendation algorithm with the same experimental data, the proposed algorithm in this paper increased the accuracy of 2.67\%, coverage rate of 3.02\% and 3.2\% of the Feature 1 value and achieved good recommendation results compared to the Latent Factor Model which revealed the best effect of recommendation.
Analysis of Audience Interest and User Clustering Based on Program Tags
Fulian Yin,Xingyi Pan,Jianping Chai,Wenwen Zhang 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.11
This paper proposes an analysis method of user behavior to provide personalized program recommendation based on program tags in the field of broadcasting and television. Multidimensional Scaling Analysis is used to produce a quantitative description of viewing preferences. Hierarchical clustering is performed to determine the number of clusters, followed by K-means clustering to group the data according to audience interest in TV program tags. This divides the audience into groups with similar viewing preferences.
Combination Weighting Method Based on Maximizing Deviations and Normalized Constraint Condition
Fulian Yin,Lu Lu,Jianping Chai,Yanbing Yang 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.2
When the weight of each attribute is determined in the multiple attribute decision making problems, calculated by the method of subjective values or objective values solely will cause the problem that weight coefficient is not reasonable. So the paper puts forward the weightingmethod which is based on maximizing deviations and normalized constraint condition. The method integrates the subjective and objective weighting information. On the one hand, the deviation between each weight vector which is determined by the various weighting method makes the maximum of its total deviation. On the other hand, the various evaluated object integrated value makes the maximum of its total evaluated value. Thus we establish a double objective optimization model. What’s more, we deduce the weight calculation formula by solving the model. Finally we have an experimental analysis. It proves that the combination weighting methodcan reflect the relative importance of each indicators and the information that index itself contains. In other words, it can reflect the subjective and objective decisions which make the weighting results more reasonable.
A Digital Camouflage Generation Algorithm Using Color Similarity
Hengfu Yang,Jianping Yin 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.6
A novel digital camouflage generation scheme based on color quantization is proposed. First, a color similarity measurement in RGB color space is presented by exploiting the similarity of two color vectors. Then main colors in the background of the host image are extracted by combining color similarity and color quantization. Finally, the camouflage image is generated by replacing target pixels with main background colors. Simulated experiments prove that the proposed algorithm can achieve full fusion of the target and the background, and the generated camouflage image has satisfactory visual quality.
Magnetic Assembly of Nonmagnetic Particles into Photonic Crystal Structures
He, Le,Hu, Yongxing,Kim, Hyoki,Ge, Jianping,Kwon, Sunghoon,Yin, Yadong American Chemical Society 2010 NANO LETTERS Vol.10 No.11
<P>We report the rapid formation of photonic crystal structures by assembly of uniform nonmagnetic colloidal particles in ferrofluids using external magnetic fields. Magnetic manipulation of nonmagnetic particles with size down to a few hundred nanometers, suitable building blocks for producing photonic crystals with band gaps located in the visible regime, has been difficult due to their weak magnetic dipole moment. Increasing the dipole moment of magnetic holes has been limited by the instability of ferrofluids toward aggregation at high concentration or under strong magnetic field. By taking advantage of the superior stability of highly surface-charged magnetite nanocrystal-based ferrofluids, in this paper we have been able to successfully assemble 185 nm nonmagnetic polymer beads into photonic crystal structures, from 1D chains to 3D assemblies as determined by the interplay of magnetic dipole force and packing force. In a strong magnetic field with large field gradient, 3D photonic crystals with high reflectance (83%) in the visible range can be rapidly produced within several minutes, making this general strategy promising for fast creation of large-area photonic crystals using nonmagnetic particles as building blocks.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/nalefd/2010/nalefd.2010.10.issue-11/nl103008v/production/images/medium/nl-2010-03008v_0006.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/nl103008v'>ACS Electronic Supporting Info</A></P>