ratingsÂ
Working in a hands-on learning environment, led by our Relevant Search expert instructor, students will learn about and explore:
You'll learn how to apply Elasticsearch or Solr to your business's unique ranking problems.demonstrates how to program relevance and how to incorporate secondary data sources, taxonomies, text analytics, and personalization
PRIVATE
Course Access
Unlimited Duration
Last Updated
July 30, 2021
Students Enrolled
20
Total Reviews
Posted by
Certification
Relevant Search demystifies the subject and shows you that a search engine is a programmable relevance framework. You'll learn how to apply Elasticsearch or Solr to your business's unique ranking problems. The course demonstrates how to program relevance and how to incorporate secondary data sources, taxonomies, text analytics, and personalization. In practice, a relevance framework requires softer skills as well, such as collaborating with stakeholders to discover the right relevance requirements for your business. By the end, you?ll be able to achieve a virtuous cycle of provable, measurable relevance improvements over a search product?s lifetime
Course Curriculum
-
- Your goal: gaining the skills of a relevance engineer 00:00:00
- Why is search relevance so hard? 00:00:00
- Gaining insight from relevance research 00:00:00
- How do you solve relevance? 00:00:00
- More than technology: curation, collaboration, and feedback 00:00:00
-
- Search 101 00:00:00
- Search engine data structures 00:00:00
- Indexing content: extraction, enrichment, analysis, and indexing 00:00:00
- Document search and retrieval 00:00:00
- Applications to Solr and Elasticsearch: examples in Elasticsearch 00:00:00
- Our most prominent data set: TMDB 00:00:00
- Examples programmed in Python 00:00:00
- Your first search application 00:00:00
- Debugging query matching 00:00:00
- Debugging ranking 00:00:00
- Solved? Our work is never over! 00:00:00
- Signals and signal modeling 00:00:00
- TMDB—search, the final frontier! 00:00:00
- Signal modeling in field-centric search 00:00:00
- What do we mean by score shaping? 00:00:00
- Boosting: shaping by promoting results 00:00:00
- Filtering: shaping by excluding results 00:00:00
- Score-shaping strategies for satisfying business needs 00:00:00
- Yowl! The awesome new start-up! 00:00:00
- Gathering information and requirements 00:00:00
- Designing the search application 00:00:00
- Deploying, monitoring, and improving 00:00:00
- Knowing when good is good enough 00:00:00
- Personalizing search based on user profiles 00:00:00
- Personalizing search based on user behavior 00:00:00
- information back to the search index 00:00:00
- Basic methods for building concept search 00:00:00
- Building concept search using machine learning 00:00:00
- The personalized search—concept search connection 00:00:00
- Recommendation as a generalization of search 00:00:00
- Best wishes on your search relevance journey 00:00:00
Course Reviews
4
4
1937
Students
About Instructor
Course Events
[wplms_eventon_events]
