Search Engines for Web and Enterprise Data

1 Assignment

• Lecture 2 - Search Engine Business Model

2 Videos

• Lecture 2.1 - Search Engine Business Model & Keyword Advertising
• Lecture 2.2 - Search Engine Related Jobs & Charging Methods & Business History

1 Readings

• Lecture 2 - Search Engine Business Model

1 Assignment

• Lecture 3 - TFxIDF

2 Videos

• Lecture 3.1 - Retrieval Models
• Lecture 3.2 - TFxIDF

1 Readings

• Lecture 3- TFxIDF

1 Assignment

• Lecture 4 - Vector Space Model

4 Videos

• Lecture 4.1 - Vector Space Model & Similarity
• Lecture 4.2 - Interesting Things We Can Do in VSM
• Lecture 4.3 - Choices of Similarity Measures & Query Term Weight
• Lecture 4.4 - Term Independence Assumption & Synonyms & Unbalanced Property of VSM

1 Readings

• Lecture 4 - Vector Space Model

1 Assignment

• Lecture 5 - Inverted Files

4 Videos

• Lecture 5.1 - Keyword Index & Postings List
• Lecture 5.2 - Pros and Cons & Extensions
• Lecture 5.3 - Insertion, Deletion and Update
• Lecture 5.4 - Scalability Issues and Possible Solutions

1 Readings

• Lecture 5- Inverted Files

1 Assignment

• Lecture 6 - Extended Boolean Model

2 Videos

• Lecture 6.1 - Soft Operators and Observations
• Lecture 6.2 - Soft Operator Visualization & P-norm Model

1 Readings

• Lecture 6 - Extended Boolean Model

1 Assignment

• Lecture 7 - PageRank

3 Videos

• Lecture 7.1 - HyPursuit and WISE
• Lecture 7.2 - PageRank
• Lecture 7.3 - Other aspects / Applications of PageRank

1 Readings

• Lecture 7 - PageRank

1 Assignment

• Lecture 8 - HITS Algorithm

4 Videos

• Lecture 8.1 - HITS Algorithm
• Lecture 8.2 - Convergence and Normalization of HITS
• Lecture 8.3 - Integrating PR and HITS in Search Engines
• Lecture 8.4 - Observations of HITS and PR

1 Readings

• Lecture 8 - HITS Algorithm

1 Assignment

• Lecture 9 - Performance Evaluation of IR System

3 Videos

• Lecture 9.1 - Explicit Evaluation & Recall, Precision, and Fallout
• Lecture 9.2 - Handling Inconsistency & Finding Relevant Items & Plotting Graphs
• Lecture 9.3 - More Performance Measures

1 Readings

• Lecture 9 - Performance Evaluation of IR System

1 Assignment

• Lecture 10 - Benchmarking

1 Videos

• Lecture 10 - Benchmarking

1 Readings

• Lecture 10 - Benchmarking

1 Assignment

• Lecture 11 - Stopword Removal and Stemming

4 Videos

• Lecture 11.1 - Indexing Process Overview
• Lecture 11.2 - Stemming Overview & Affix removal Algorithms
• Lecture 11.3 - Corpora Based Statistical Stemming
• Lecture 11.4 - Purpose of Obtaining the Stem of a Word

1 Readings

• Lecture 11 - Stopword Removal and Stemming

1 Assignment

• Lecture 12 - Relevance Feedback

3 Videos

• Lecture 12.1 - Overview & Manual vs Automatic Feedback & Implicit vs Explicit Feedback
• Lecture 12.2 - Query Modification
• Lecture 12.3 - Document Modification

1 Readings

• Lecture 12 - Relevance Feedback

1 Assignment

• Lecture 13 - Personalized Web Search

4 Videos

• Lecture 13.1 - Overview of Personalized Web Search
• Lecture 13.2 - Eye-tracking Experiment & Clickthrough Analysis
• Lecture 13.3 - Preference Mining Strategies
• Lecture 13.4 - Apply User Preferences to Ranking

1 Readings

• Lecture 13 - Personalized Web Search

1 Assignment

• Lecture 14 - Index Term Selection

3 Videos

• Lecture 14.1 - Zipf’s Law
• Lecture 14.2 - Term Discrimination Values
• Lecture 14.3 - Term Discrimination Value vs Document Frequency & Applying DV in Term Selection

1 Readings

• Lecture 14 - Index Term Selection

1 Assignment

• Lecture 15 - Discovering Phrases and Correlated Terms

3 Videos

• Lecture 15.1 - N-gram
• Lecture 15.2 - Collocation and Co-occurrence
• Lecture 15.3 - Pointwise Mutual Information

1 Readings

• Lecture 15 - Discovering Phrases and Correlated Terms

1 Assignment

• Lecture 16 - Enterprise Search Engine

3 Videos

• Lecture 16.1 - Enterprise Search and Challenges
• Lecture 16.2 - Enterprise Search Engine
• Lecture 16.3 - Advanced Requirements of Enterprise SE

1 Readings

• Lecture 16 - Enterprise Search Engine