Proud to announce my introductory tutorial on hacking together a toy search engine made it into my beloved “build your own” list. The tutorial briefly explains basic concepts from Information Retrieval (vector space model, features, tf-idf, etc.) and proposes a simple, nearest neighbor-based approach to use relevance feedback in ranking. Check it out here.
Making text search learn from feedback (tutorial)
Published by Martin Davtyan