Critique - Prithu

Great work Yaashaar. Your page gives nice examples and provides enough base to understand the content. I had very little prior knowledge on Info Viz, but still was able to follow most of the content. However the topic seems a bit off-track in terms of relevance to AI. Nonetheless, your write-up was a pleasant read. On a side note, few figures should be enlarged to improve their readability such as figure 2

Hi Prithu,
Thank you very much for reading my page and the kind words you used:

1. In the first paragraph of Introduction I pointed out its association with AI. Machine learning (ML) models (classifiers) are the core elemets of adaptive systems, and ML is categorized under AI. The truth is the AI’s direct techniques and artifacts such as sequence planning models (HMM, Max Entropy Markov Model, etc.), all come very handy when we discuss the advanced type of problems in User Adaptive Information Visualization. However, as the purpose of this page was to introduce the field by two papers from two different research teams, I decided to select these two papers, because they present a nice introduction to the type of problems that are investigated in U-AIV, and without this foundation, discussing the advanced problems would be a bit pointless.
2. I added a dedicated section (under introduction), in which, I elaborated this relationship.
3. I enlarged the figures’ size a bit to enhance their readability. You can also click on them to view them in their original size.

Thanks again for your valuable remarks ;)
Yaashaar