Practical Tips for Improving Search Relevance
- Analyze User Behavior: Monitor how users interact with your search results and adjust relevance parameters based on their behavior.
- Use Synonyms: Implement a synonym filter to handle different terms that mean the same thing, improving the relevance of search results.
- Boost Important Fields: Use field boosts to emphasize the importance of certain fields in your documents.
- Experiment with Scoring Functions: Try different scoring functions and parameters to find the best combination for your specific use case.
- Optimize Index Settings: Fine-tune index settings like BM25 parameters to better align with your data and search requirements.
Relevance Scoring and Search Relevance in Elasticsearch
Elasticsearch is a powerful search engine that good at full–text search among other types of queries. One of its key features is the ability to rank search results based on relevance. Relevance scoring determines how well a document matches a given search query and ensures that the most relevant results appear at the top.
In this article, we will understand relevance scoring in Elasticsearch with detailed examples and outputs to make the concepts simple and easy to learn.