When Web 2.0 encounters with iEA hwchen

Outline Motivation Web 2.0 iWeb 2.0 Introduction of iEA Related work of iEA My research project Conclusion

Motivation Web 2.0 becomes more and more popular. What roles intelligence plays in Web 2.0. I name Web 2.0 with intelligence as iWeb 2.0

Web 2.0 What is Web 2.0 ?  Techniques like PHP or ASP.NET ( X )  Protocols like TCP/IP or FTP ( X )  A second-generation of web-based services that emphasize online collaboration and sharing among users. ( O )

Web 2.0 (CONT.) Features of Web 2.0  Network as platform  Users owning the data in the site and exercising control over the data  An architecture of participation that encourages users to add value to the application as they use it  A rich, interactive, use-friendly interface

iWeb 2.0 Intelligence  Give content people want  Help user provide content

iWeb 2.0 (cont.)

iEA Interactive Evolution Algorithm (iEA)  The user effectively become part of the system by acting as a guiding oracle to control the evolutionary process.

iEA (cont.) The cornerstones of evolutionary process  Variation  Selection [iEA]

iEA (cont.) Advantage  Handling situations with no clear fitness function.

iEA (cont.) Disadvantage  Slowness  Inconsistency  Limited coverage

iEA (cont.) Comparison  The optimization of EA  The design and art of iEA

Related work Development of an IGA-based fashion design aid system with domain specific knowledge  Source: IEEE SMC’99  How to get: Google, IEEE Xplore

Related work (cont.) Fashion design  Outline of a cloth  Detail Neckline Sleeve Cuffs Waistline Skirt Pants Pocket  Ornaments

Related work (cont.) System design Representation

Related work (cont.) Encoded neck-and-body styles

Related work (cont.) Encoded arm-and-sleeve styles

Related work (cont.) Encoded skirt-and-waistline styles

Related work (cont.) Decoding from example genotype

Related work (cont.) Discussion  Only 8 color for each component  3D model is so fake  Component is limited

Related work (cont.) Discrete fitness values for improving the human interface in an interactive GA  Source: Evolutionary Computation, 1996  How to get: IEEE Xplore

Related work (cont.) Fitness value  Discrete value  Continuous value

Related work (cont.) Discrete value  It let interactive GA operators more easy in evaluating individuals.  The convergence time of interactive GA may become longer due to imprecise fitness value.

Related work (cont.) Continuous value  Fitness value without quantization error had converged better than those with quantization error.  However, the number of generations that human operators can use the interactive GA is not large.

Related work (cont.) Discussion  Tradeoff between discrete and continuous

Related work (cont.) Improvement of presenting interface by predicting the evaluation order to reduce the burden of human interactive EC operators  Source: IEEE SMC’98  How to get: Google, IEEE Xplore

Related work (cont.) The order in which the individuals are presented to the user can have a strong influence on her/his feeling of comfort and therefore on her/his ability to perform more evaluations.

Related work (cont.)

Fitness prediction  Training an Artificial Neural Network using individuals drawn from previous generations.  Each individual’s fitness is estimated using an average of its fitness weighted by Euclidean distance.

Related work (cont.) On-line knowledge embedding for an interactive EC-based montage system  Source : KES’99  How to get: Google, IEEE Xplore

Related work (cont.) Allowing the user to dynamically specific which portion of the search space should be explored at a particular stage of run.

Related work (cont.)

Related work By ypchen

My Research Project iWeb 2.0  iDesign Web 2.0 Design iEA

My Research Project (cont.) iDesign  User in the platform can share their works with others. A: Clothes Components of A  Proof of copyright  The system only serves design works.  Build a platform that can help user design their own clothes, ornament, …etc.

My Research Project iT-Shirt  Body, face, eyes, mouth, and noses are component of an human.  Color, Mark, martial (background), prototype, and text are component of clothes.

My Research Project iT-Shirt (cont.)  How can us get each component of clothes in real world application? Collect a group of designer ? (Expensive) By our team? (Are you kidding?) Web 2.0 ( O )

My Research Project iT-Shirt (cont.)  Representation

My Research Project iT-Shirt (cont.)  Crossover  Mutation  Fitness Human  Guide tree in design view Designer Data Mining.

My Research Project Challenges  A rich, interactive, use-friendly interface  iEA converge in short time  Lots of Users  Put information in each selection (for data mining)

My Research Project Q & A