Subject Details
Dept     : CSE
Sem      : 7
Regul    : R-2019
Faculty : Mr. Karthikeyan. K
phone  : 9842169005
E-mail  : sns.cse.karthik@gmail.com
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Lecture Notes

UNIT 1:
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Practical Issues on the Web and How People Search
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The Retrieval and Ranking Processes
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The Web , The e-Publishing Era and How the web changed Search
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Information versus Data Retrieval ,The IR System and The Software Architecture of the IR System
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Early Developments and The IR Problem , The User’s Task
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Information Retrieval Techniques
UNIT 2:
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Basic IR Models and Boolean Model
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Vector Space Model
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TF-IDF (Term Frequency/Inverse Document Frequency) Weighting
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Probabilistic Model
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Latent Semantic Indexing Model
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Neural Network Model in IRT
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Retrieval Evaluation and Retrieval Metrics
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Precision and Recall and Reference Collection
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Relevance Feedback and Query Expansion
UNIT 3:
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A Characterization of Text Classification – Unsupervised Algorithms: Clustering – Naïve Text Classification
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Supervised Algorithms
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Decision Tree
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k-NN Classifier
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SVM Classifier
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Accuracy and Error – Organizing the classes – Indexing and Searching – Inverted Indexes – Sequential Searching – Multi-dimensional Indexing.
UNIT 4:
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The Web – Search Engine Architectures – Cluster based Architecture
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Distributed Architectures
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Search Engine Ranking – Link based Ranking
UNIT 5:
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IR applications-Information Extraction-Question answering