1. INFORMATION RETRIEVAL TECHNIQUES BY DR. ADNAN ABID
Lecture #
Introduction
00:00:40  00:01:10

2. Library Management System
00:00:43  00:01:20

3. Structured Data Storage / Tables
00:02:16  00:03:05

4. Semi-Structured and Unstructured
00:04:05  00:04:33

5. Employee Department Salary
00:05:45  00:06:20

6. Library Digitization
00:07:42  00:08:05

7. Information Retrieval Models
Set Theoretic
Fuzzy
Extended Boolean
Classic Models
Algebraic
Generalized Vector
Lat.Semantic Index
Neural Networks
Boolean
Vector
Probabilistic
Ad-Hoc Retrieval
Filtering
00:12:27  00:13:28
Probabilistic
Inference Network
Belief Network
Structured Models
Non-Overlapping Lists
Proximal Nodes

8. Indexes / Inverted Indexes
Merge
multiple
term entries
Add
frequency
information
00:14:35  00:15:55

9. Google / Bing / Yahoo
00:16:50  00:17:16

11. Number of Results
00:17:36  00:17:45
00:34:00  00:34:15

12. Test Corpus
00:36:07  00:36:15

13. The probabilistic model
The probabilistic model computes the similarity coefficient between queries and documents as the probability that a document will be relevant to a query
00:39:05  00:39:50

14. Search Computing

15. Books
00:50:41  00:52:10