BAC 3101 – RECOMNDER SYSTEM  KCA Past Paper

UNIVERSITY EXAMINATIONS: 2019/2020
EXAMINATION FOR THE BACHELOR OF SCIENCE IN APPLIED
COMPUTING
BAC 3101: RECOMMENDER SYSTEMS
FULL TIME/PART TIME
ORDINARY EXAMINATIONS
DATE: MAY, 2020 TIME: 6 HOURS
INSTRUCTIONS: Answer ALL Questions

SECTION B: 20 MARKS
a) Explain the following goals of R.S (4 Marks)
i. Relevance
ii. Novelty
iii. serendipity
iv. Diversity
b) Explain how the collaborative R.S work and distinguish between the following
categories of these R.S [8 Marks ]
i. memory based
ii. model based
c) Describe any two methods which are used to rate the success/failure of recommender
systems [8 Marks]
SECTION C: 20 MARKS
a) Explain how knowledge based R.S work and distinguish between the following
categories of K-B RS
i. Constraint based RS
ii. Case based RS [6 Marks]
b) Describe the Importance of interactivity in knowledge bases RS and explain how
interaction in KB, RS is achieved. [6 Marks]
c) Describe the following methods of creating hybrid based R.S
i. Monolithic DESIGN
ii. Pipelined design [8 Marks]

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