|
Topics |
Addl. Reading |
Class 1 |
Information
Retrieval; The Boolean Model |
MIR-1 |
Class 2 |
The
Vector Space Model : Term Weighting and Scoring |
IIR-6,
MIR-2 |
Class 3 |
Inverted
Index Construction |
IIR-1, MIR-8.2 |
Class 4 |
Dictionary
and Postings; Query Processing |
IIR-2, MIR-7.2 |
Class 5 |
Tolerant
Retrieval (B-Trees) |
IIR-3 |
Class 6 |
Index
Construction |
IIR-4, MG-5 |
Class 7 |
Map Reduce Architecture |
Hadoop |
Class 8 |
Index
Compression |
IIR-5, MG 3.3-4 |
Class 9 |
Vector Space Model : TF-IDF |
IIR-6.2-4 |
Class 10 |
Midterm Exam (Feb 2)
|
|
Class 11 |
Vector
Space Model : Ranking Revisited |
IIR-6.1, IIR-7 |
Class 12 |
Evaluation
in Information Retrieval |
IIR-8, MIR-3
IIR-8 |
Class 13 |
Relevance
Feedback and Query Expansion |
IIR-9,
MIR-5.2-4 |
Class 14 |
Text Classification and Naive Bayes |
IIR-13 |
Class 15 |
Vector
Space Classification |
IIR-14 |
Class 16 |
Support
Vector Machines |
IIR-15,
Primer |
Class 17 |
Flat
and Hierarchical Clustering |
IIR-16, IIR-17
|
Class 18 |
Latent
Semantic Indexing |
IIR-18, Refs
|
Class 19 |
Linear
Algebra: Matrix
Decompositions |
SVD-URL |
Class 20 |
Wrap-Up |
|
Class * |
Web Characteristics |
IIR-19
|
Class * |
Web Search: Crawling and Indexes |
IIR-20
|
Class * |
Link
Analysis |
IIR-21
|
|
Final Exam (5:45pm-7:45pm, March 13)
|
|