Improvements to Vector Space Similarity. (very) Brief discussion of relevance feedback. Discussion of term correlation statistics.
Beyond correlation computation--latent semantic indexing. Motivation through malicious oracle. Illustration through fish. Connecting to SVD. Seeing that SVD is doing a low-rank approximation of a matrix.
Recommendation systems. Content-based filtering and application of naive bayes classifier to vector of bags model of text. Collaborative filtering and its relative tradeoffs vis a vis content-based filtering.
(last 15min) Search Advertising. How it is different from traditional advertising. The three parties: users, search engine, advertisers--and their differeing utility models. Balancing them. Birds-eye view of most of the important challenges.