This blog provides a guide on using Elasticsearch's hybrid geo-semantic search capabilities to efficiently navigate and retrieve data from a diverse dataset of 2 million TripAdvisor reviews for personalized attraction recommendations.

Use cases

Location-Based Search

User Review Classification for Personalized Recommendations

Analysis

Data Preparation

Step 1: Importing a zero-shot classification model with eland

Step 2: Index Preparation

Step 3: Set up ingest pipeline

Step 4: Data Ingest

Conclusion

Semantic Search: Using Geo-Semantic Search in Elasticsearch to Enhance Recommendations

Enhancing Recommendations with Geo-Semantic Search in Elasticsearch

Author

Lily Adler

Articles

Enhancing Recommendations with Geo-Semantic Search in Elasticsearch