The proceedings contain 150 papers. The topics discussed include: new techniques for data preprocessing based on usage logs for efficient web user profiling at client side; managing context-dependent workspace awareness in an e-collaboration environment; enhanced gestalt theory guided web page segmentation for mobile browsing; automated web site evaluation - an approach based on ranking SVM; analyzing social networks using FCA: complexity aspects; optimizing web content presentation: a online pso approach; clustering with constrained similarity learning; USE: a concept-based recommendation system to support creative search; user study of automatic photo classifier by color and timestamp; visualization cube: modeling interaction for exploratory data analysis of spatiotemporal trend information; and how does label propagation algorithm work in bipartite networks?
Boldi, P., Vizzari, G., Pasi, G., Baeza-Yates, R. (a cura di). (2009). Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2009). IEEE.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2009)
Vizzari, G;Pasi, G;
2009
Abstract
The proceedings contain 150 papers. The topics discussed include: new techniques for data preprocessing based on usage logs for efficient web user profiling at client side; managing context-dependent workspace awareness in an e-collaboration environment; enhanced gestalt theory guided web page segmentation for mobile browsing; automated web site evaluation - an approach based on ranking SVM; analyzing social networks using FCA: complexity aspects; optimizing web content presentation: a online pso approach; clustering with constrained similarity learning; USE: a concept-based recommendation system to support creative search; user study of automatic photo classifier by color and timestamp; visualization cube: modeling interaction for exploratory data analysis of spatiotemporal trend information; and how does label propagation algorithm work in bipartite networks?I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.