Overview
This article explains the implementation and logic behind the search functionality in a website using Sitecore Search DXP. It covers the configuration of textual relevancy, the use of analyzers, attribute weighting, and the default ranking logic provided by Sitecore Search.
Implementation Details
1. Multi Locale Standard Analyzer
The Multi Locale Standard Analyzer is used to handle text in multiple languages, providing robust text analysis capabilities for multilingual content. This analyzer is particularly effective in processing non-English text by normalizing the text, tokenizing it, and handling language-specific characteristics such as stemming and stop word removal.
2. Attribute Weighting
The attribute weighting is configured to influence the relevancy score of search results. Higher weights increase the importance of an attribute in the search ranking. The following table lists the attributes, the analyzers used, and their respective weights:
| Attribute | Analyzer | Weight |
|---|---|---|
| Name/Title | Multi Locale Standard Analyzer | 7 |
| Authors | Multi Locale Standard Analyzer | 6 |
| Sectors | Multi Locale Standard Analyzer | 5 |
| Services | Multi Locale Standard Analyzer | 5 |
| Keywords | Multi Locale Standard Analyzer | 4 |
| Description | Multi Locale Standard Analyzer | 3 |
| Tags | Multi Locale Standard Analyzer | 0.1 |
Logic Behind Attribute and Weight Configuration
- Name/Title (Multi Locale Standard Analyzer, Weight: 7):
- The title of content is crucial for matching user queries as it often directly represents the core subject. Assigning a weight of 7 ensures that titles are given the highest priority in search results.
- Authors (Multi Locale Standard Analyzer, Weight: 6):
- The author’s name is highly relevant, particularly in contexts where users may search for content by specific authors. A weight of 6 reflects its significant importance.
- Sectors (Multi Locale Standard Analyzer, Weight: 5):
- Sectors help categorize content, making it easier for users to find relevant results within specific areas. A weight of 5 balances its importance well with other key attributes.
- Services (Multi Locale Standard Analyzer, Weight: 5):
- Similar to sectors, services are essential for matching user queries related to what the content offers. Hence, it is also given a substantial weight of 5.
- Keywords (Multi Locale Standard Analyzer, Weight: 4):
- Keywords are important for matching the user’s search queries but are given a slightly lower weight compared to titles and authors to ensure a balanced relevancy score. A weight of 4 ensures they are prioritized without overshadowing the title and author fields.
- Description (Multi Locale Standard Analyzer, Weight: 3):
- Descriptions provide additional context but are less critical for direct matching. A weight of 3 reflects its supporting role in relevancy.
- Tags (Multi Locale Standard Analyzer, Weight: 0.1):
- Tags are considered minimally in the relevancy scoring. A weight of 0.1 ensures they have a slight influence without heavily impacting the overall search results.
Default Ranking Logic of Sitecore Search
Sitecore Search uses a combination of text relevancy, user behavior, and metadata to rank search results. The default ranking logic includes:
- Textual Relevancy:
- Based on the configured weights of attributes, the search engine calculates the relevancy score of each document in relation to the search query. Higher-weighted attributes contribute more significantly to the score.
- Field Boosting:
- Although not configured in this implementation, field boosting can be applied to further enhance the importance of specific fields dynamically.
- Behavioral Data:
- User interaction data such as clicks, dwell time, and conversion rates can influence the ranking of search results, making them more tailored to user preferences over time.
- Content Freshness:
- Recent content might be prioritized to ensure that the search results are up-to-date.
- Metadata:
- Additional metadata such as content type, publication date, and other structured data fields can also influence the ranking.
Summary
The implementation of global search functionality in Sitecore using Sitecore Search is designed to provide accurate and relevant search results by leveraging a well-configured combination of analyzers and attribute weighting. This ensures that the search engine prioritizes key content attributes effectively, enhancing the overall search experience for users. The default ranking logic of Sitecore Search, combined with our specific configuration, allows for a balanced and responsive search system that can cater to multilingual and varied content needs.
