Web Media Mining
Computer Science PhD Course
Slides
- Multimodal data representations
- Indexing high-dimensional multimodal data
- Experimental evaluation design
- Mining Web media data
- Recommender systems
- Topic Models: LSA, LDA and DLDA
Bibliography
Multimodal data representations:
- Engineered features: SIFT, SURF, VLAD and HoG, GIST
- Learning features: ConvNet descriptors
- Chapter 2 of Introduction to Information Retrieval book.
Indexing high-dimensional data:
- Indexing trees
- Hamming embeddings
- Product quantization
- Sparse hashing
Mining Web media data:
Recommender systems:
Topic Models:
- Chapter 18 of Introduction to Information Retrieval book.
- Probabilistic Topic Models
Bibliography - fundamentals
- C. D. Manning, P. Raghavan and H. Schütze, “Introduction to Information Retrieval”, Cambridge University Press, 2008.
- Stefan Buettcher, Charles L. A. Clarke, Gordon V. Cormack, “Information Retrieval: Implementing and Evaluating Search Engines”, The MIT Press, 2010.