MOCA
Text Retrieval and Search Engines
Text Mining and Analytics
Text Retrieval and Search Engines
Topics
document relevance (Confusion: 2896.36)
word probabl model (Confusion: 2260.97)
can user look (Confusion: 2237.68)
document term queri (Confusion: 2126.45)
indexing (Confusion: 2009.17)
human-in-the-loop support (Confusion: 1979.75)
precision/recall metrics (Confusion: 1854.14)
vector space model (Confusion: 1761.11)
crawling framework (Confusion: 1704.32)
feedback relevance (Confusion: 1623.57)
search engine (Confusion: 1613.7)
can user way (Confusion: 1530.67)
PageRank (Confusion: 1515.11)
MapReduce (Confusion: 1510.25)
user (Confusion: 1320.14)
natural language (Confusion: 1158.39)
recommender systems (Confusion: 1006.56)
Lectures
1.1 Natural Language Content Analysis (00:21:05)
1.2 Text Access (00:09:24)
1.3 Text Retrieval Problem (00:26:18)
1.4 Overview of Text Retrieval Methods (00:10:10)
1.5 Vector Space Model: Basic Idea (00:09:44)
1.6 Vector Space Model: Simplest Instantiation (00:17:30)
1.7 Vector Space Model: Improved Instantiation (00:16:52)
1.8 TF Transformation (00:09:31)
1.9 Doc Length Normalization (00:18:56)
2.1 Implementation of TR Systems (00:21:27)
2.2 System Implementation: Inverted Index Construction (00:18:21)
2.3 System Implementation: Fast Search (00:17:11)
2.4 Evaluation of TR Systems (00:10:10)
2.5 Evaluation of TR Systems: Basic Measures (00:12:54)
2.6 Evaluation of TR Systems: Evaluating Ranked Lists Part 1 (00:12:51)
2.6 Evaluation of TR Systems: Evaluating Ranked Lists Part 2 (00:10:01)
2.7 Evaluation of TR Systems: Multi-Level Judgements (00:10:48)
2.8 Evaluation of TR Systems: Practical Issues (00:15:14)
3.1 Probabilistic Retrieval Model: Basic Idea (00:12:44)
3.2 Statistical Language Models (00:17:53)
3.3 Query Likelihood Retrieval Function (00:12:07)
3.4 Smoothing of Language Model - Part 1 (00:12:15)
3.4 Smoothing of Language Model - Part 2 (00:09:36)
3.5 Smoothing Methods Part - 1 (00:09:54)
3.5 Smoothing Methods Part - 2 (00:13:17)
3.6 Feedback in Text Retrieval (00:06:49)
3.7 Feedback in Vector Space Model: Rocchio (00:12:05)
3.8 Feedback in Text Retrieval: Feedback in LM (00:19:11)
4.1 Web Search: Introduction & Web Crawler (00:11:05)
4.2 Web Indexing (00:17:19)
4.3 Link Analysis - Part 1 (00:09:16)
4.3 Link Analysis - Part 2 (00:17:30)
4.3 Link Analysis - Part 3 (00:05:59)
4.4 Learning to Rank - Part 2 (00:05:54)
4.4 Learning to Rank - Part 3 (00:04:58)
4.4 Learning to Rank Part 1 (00:13:09)
4.5 Future of Web Search (00:13:09)
4.6 Recommender Systems: Content-based Filtering - Part 2 (00:10:42)
4.6 Recommender Systems: Content-based Filtering - Part 1 (00:12:55)
4.7 Recommender Systems: Collaborative Filtering - Part 1 (00:06:20)
4.7 Recommender Systems: Collaborative Filtering - Part 2 (00:12:09)
4.7 Recommender Systems: Collaborative Filtering - Part 3 (00:04:45)
4.8 Course Summary (00:09:48)
Course Introduction (00:10:45)
Course Welcome (00:03:11)