How are boost scores calculated?

Based on the searchable fields, Hawksearch's relevance provides a score based on these factors:

• Term Frequency – The higher number of times a term appears within a product's searchable fields, the higher the score is.
• Rare Appearance Rate – Terms that are more rare that match within a product's searchable fields give a higher influence to the score.
• Number of Query Terms – The higher number of query terms that matched within a product's searchable fields will provide a higher score than other products that matched less query terms.

Within the Workbench tool, additional boosts can also be applied:

• Search Field Boost - Each search field can be applied a boost as well. The best practice would be to provide boost to fields that have stronger content such as a product name. This depends on the quality of your data.
• Intelligent Search – Popularity can also be applied to influence relevance ranking. Popularity is determined by search behavior and how past customers are interacting with your products.
• Boost and Bury – Rules can also be applied for specific triggers. Rules are flexible and can include different criteria to boost or bury. For example, if a customer searches for a specific term, a merchandiser can boost a specific brand of products to the top.
• Pinning – Within the preview window, merchandisers can specifically choose which products should be boosted to the top by applying a pin. This can help when you want to merchandise specific products.