Hall Ticket No Question Paper Code: BCS201
INSTITUTE OF AERONAUTICAL ENGINEERING
(Autonomous)
M.Tech II Semester End Examinations (Regular) July, 2018
Regulation: IARE-R16
WEB INTELLIGENT AND ALGORITHMS
Time: 3 Hours Max Marks: 70
Answer ONE Question from each Unit
All Questions Carry Equal Marks
All parts of the question must be answered in one place only
UNIT I
1. Explain the Web intelligent process and list various intelligent web applications.
What are the major differences among web 1.0, web 2.0 and web 3.0?
2. How do you quantify the degree of success for a search engine using precision and recall. Explain
in detail?
Explain the process of improving search results by user clicks.
UNIT II
3. Explain in detail recommendations based on similar users with an example.
Explain in detail three types of content-based recommendations.
4. Describe the process of recommending movies on a site such as Netflix.com.
Explain large-scale implementation and evaluation issues of recommender systems.
UNIT III
5. Explain the process of tag generation and tag related meta data.
Explain about hybrid recommender systems and its types.
6. Explain in detail about targeted search and dynamic navigation.
Explain how to extract intelligence from tags of learning from user interaction.
UNIT IV
7. Explain memory based and model based approach in collaborative filtering.
Differentiate between suggestions and recommendations.
8. Explain about constraint based recommender systems.
Explain about neighbourhood based recommender systems.
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UNIT V
9. Explain about association rule mining techniques.
Explain the following clustering methods.
Partitioning Method
ii) Grid-based Method
10. Explain about evolution of web 3.0 and semantic web.
Explain the explanations and evaluation of recommender systems.