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1
Introduction
2
What is RRF
3
Scores as percentages
4
WhyScores as percentages
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What is the next solution
6
Maxmeanscale
7
Generating Ranking
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Reciprocal Rank
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Optional Extension
10
RRF Function
11
Ranking Constant
12
Window Size
13
RRF Example
14
RRF Blended
15
RRF Efficiency
16
RF in Various Systems
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Minimal Example
18
Why is RF great
19
Renquest
20
Elastic Search
21
Questions
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the concept of Reciprocal Rank Fusion (RRF) in this 39-minute conference talk from Haystack EU 2023. Dive into the algorithm that combines multiple result sets with different relevance indicators into a single result set without requiring tuning. Learn how RRF can be an effective alternative to boosting when combining different types of searches. Discover the algorithm's inner workings, implementation techniques, and potential surprises when transitioning from BM25 search. Gain insights from Philipp Krenn, a developer advocate and team lead at Elastic, as he demonstrates the practical applications of RRF in various systems, including Elasticsearch. Understand the RRF function, ranking constant, and window size, and explore a minimal example to grasp its efficiency and advantages over traditional boosting methods.

Reciprocal Rank Fusion (RRF) - How to Stop Worrying about Boosting - Lecture

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