Very nice to course to learn how to implement search engine. Thanks to the course, I was able to build a basic search engine in C# having features introduced in the course such as:
Ranking Functions:
-- BM25, Pivoted Length Normalization for Vector Space Model (IDF, TF transformation, doc length normaliation)
-- JM and Dirichlet Prior Smoothing for Language model based query likelihood
-- PageRank and HITS from Link Analysis
Feedback Functions:
-- Rochhio algorithm with implicit feedback for VSM
-- KL divergence model for LM
Inverted Indexing and Map-reduce
Web-crawler:
-- breadth-first search, parallel, focused search
Link: https://www.coursera.org/course/textretrieval
No comments:
Post a Comment