People Search on the Web

Wired has an article about spock.com, a people search engine that combines crawled and user added content. From the few searches I did, looks like this is good for celebrity names than a regular person with web content. For instance, searching a name like "David Smith" produces these results. Of the top 10 results, only 3 of them actually have the name "David Smith" or something closer and the first result is not one of them. Compare this with a general purpose search engine like Google. Among a dozen random NLP/ML academic names (professors) I tried, it only got Jason Eisner and Tom Mitchell correct. One reason for this poor recall is probably they don't get content from user home pages.
(Some sites where this data is derived from include MySpace, Friendster, IMDB, Wikipedia, ratemyprofessors.com, etc.)

Nevertheless, this website is a representative of interesting KDD-style problems that one could do with people names. It is also interesting as people names that we look for fall in the "long tail" without sufficient data to support calling for clever machine learning techniques.

Reading List from KDD 2007

KDD 2007 will be on Aug 12-15 in the neighborhood at San Jose. Here is my selection:

"Extracting Semantic Relations from Query Logs", Ricardo Baeza-Yates and Alessandro Tiberi

"Efficient Incremental Clustering with Constraints", Ian Davidson, S.S. Ravi, and Martin Ester

"A Probabilistic Framework for Relational Clustering", Bo Long, Zhongfei Zhang, and Philip S. Yu

"Tracking Multiple Topics for Finding Interesting Articles", Raymond Pon, Alfonso Cardenas, David Buttler, and Terence Critchlow

"Feature Selection Methods for Text Classification", Anirban Dasgupta, Petros Drineas, Boulos Harb, Vanja Josifovski, and Michael Mahoney

"Hierarchical Mixture Models: a Probabilistic Analysis", Mark Sandler

"Information distance from a question to an answer", Xian Zhang, Yu Hao, Xiaoyan Zhu, and Ming Li

"Statistical Change Detection for Multi-Dimensional Data", Xiuyao Song, Mingxi Wu, Chris Jermaine, and Sanjay Ranka

"Constraint-Driven Clustering", Rong Ge, Martin Ester, Wen Jin, and Ian Davidson

"Enhancing Semi-Supervised Clustering: A Feature Projection Perspective", Wei Tang, Hui Xiong, Shi Zhong, and Jie Wu