Search and recommendation in HLD - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the main goal of a search system in software architecture?

The main goal is to quickly find relevant information from a large dataset based on user queries, ensuring accuracy and speed.

beginner

Explain the role of indexing in search systems.

Indexing organizes data to allow fast lookup. It creates a map of keywords to documents, reducing the time to find relevant results.

intermediate

What is a recommendation system and how does it differ from a search system?

A recommendation system suggests items based on user preferences or behavior, while a search system retrieves items based on explicit queries.

intermediate

Name two common approaches used in recommendation systems.

Collaborative filtering (using user behavior patterns) and content-based filtering (using item features) are two common approaches.

intermediate

Why is scalability important in search and recommendation systems?

Because these systems handle large and growing amounts of data and users, scalability ensures they remain fast and reliable as demand increases.

What does an inverted index in a search system do?

A Indexes user profiles for faster login

B Stores user preferences for recommendations

C Maps keywords to the documents containing them

D Caches search results temporarily

An inverted index maps keywords to documents, enabling fast search retrieval.

Which technique uses user behavior to suggest items in recommendation systems?

A Collaborative filtering

B Content-based filtering

C Indexing

D Caching

Collaborative filtering uses patterns in user behavior to recommend items.

What is a common challenge in search and recommendation systems?

A Ensuring low latency with large data

B Limiting user access

C Avoiding user input

D Handling small datasets

Handling large data quickly is a key challenge to keep user experience smooth.

Which component improves search speed by pre-organizing data?

A Recommendation engine

B Load balancer

C User interface

D Index

Indexes organize data for faster search queries.

What does content-based filtering rely on?

A User ratings only

B Item features and attributes

C Random selection

D Network speed

Content-based filtering recommends items similar to those a user liked, based on item features.

Describe the key components and flow of a search system from user query to result display.

Think about how a library catalog helps you find books quickly.

Explain how recommendation systems personalize content for users and mention two common methods used.

Imagine a friend suggesting movies based on what you like.