- Search relevancy
Search relevancy determines the products and the order that those products are displayed on the search results page. Relevant useful results are dependent upon several factors: descriptive product descriptions, properly indexed data, and the implementation of search features appropriate to the business. Search relevancy directly affects the store's revenue and conversion rate, as shoppers are more likely to purchase products that they are looking for.
- Changing the default search type
The search type controls the search scope of different catalog entry types to be searched and displayed in the storefront. It also controls the search operation that is used for multiple keyword search terms such as the AND operator, OR operator, and exact match.
- Changing the relevancy of search index fields
Depending on your store catalog, some search index fields might be more relevant than others for when shoppers search in the store. You can fine-tune the relevancy of search index fields to improve search results that are based on your store catalog. The relevancy can be scoped to either the site level or to the category level.
- Tuning multiple-word search result relevancy by using minimum match and phrase slop
Tune multi-keyword search relevancy by using minimum match and phrase slop when ALL or EXACT search types are too restrictive, or when ANY search types return too many results.
- Combining minimum match and search term associations
You can enable minimum match with search term associations by using the Solr synonym expansion algorithm, or the query-time expansion algorithm. You cannot use the default search algorithm that is provided by HCL Commerce to combine minimum match with search term associations.
- Product grouping
The Solr product grouping feature enables grouping parent catalog entries with their underlying SKUs at query time. Products can be chosen to represent the group that is returned in search results to provide visual relevancy.
- Hero product image
The Elasticsearch Hero product image feature enables grouping all SKUs of the product at query time. This topic describes how the Hero product image works. If you want to learn how to set up the Hero product image, refer to
Setting up a Hero product image (Product grouping) - Managing keyword suggestions
Manage keyword suggestions so that you can change the scope and types of keyword suggestions that appear in the storefront search field.
- Managing spell correction
Spell correction is automatically triggered when a shopper searches for misspelled words. When a query with misspelled words returns no results, a second query that contains the top suggested terms is run by default.
- Limiting search terms and characters from the search query
You can limit search terms and characters from the search query, such as unimportant words, stemming, or disabling wildcards and other characters.
- Making the expansion of search term associations case-sensitive
Search term association expansion is not case-sensitive by default. You can make the expansion case-sensitive by adding a column to the SRCHTERM table and modifying an attribute in the Solr schema.xml file of each core.