Improve Search Performance with Semantic Search

Jul 25 / Dominik Królikowski
The percentage of people who use natural language when entering a query varies by context and platform, but several key factors influence this behavior:

1. Search engines: On platforms such as Google, Bing and other search engines, many users are increasingly using natural language queries, especially with the advent of voice search and improvements in search algorithms that better understand and process natural language.

2. Voice assistants: With the rise of voice-activated assistants such as Siri, Alexa and Google Assistant, natural language queries have become more common. Users tend to speak more naturally when interacting with these assistants.

3. Chatbots and customer service: In contexts where users interact with chatbots or automated customer service systems, natural language input is also common. These systems are designed to handle more conversational input, encouraging users to type or speak naturally.

4. Generational differences: Younger generations, accustomed to more advanced technology, may use natural language more often than older generations, who may still use more keyword-based searches.

While specific statistics may vary, surveys and research indicate that the use of natural language in search is a growing trend, driven by advances in AI and machine learning that improve the handling and interpretation of natural language.

This widespread change in user habits is forcing search engines on e-commerce sites to adapt to the general trend.

Does the business gain anything other than an improved customer experience?

The basic benefits of using semantic search on e-commerce sites include

Improved accuracy: By understanding the meaning and context of queries, semantic search delivers more accurate and relevant results.

Improved user experience: The search engine can understand complex queries and provide precise answers.

Better handling of ambiguity: Semantic search effectively handles contextual clues to infer the most likely meaning.

Simplified voice search: Semantic search is essential for interpreting and responding to natural language queries spoken by users.

This is a qualitative approach. In quantitative terms, the Hybrid variant, which combines all the best of the two search models in a single, allows you to increase search efficiency measured by conversion by approximately 10%.

How does it work?

Write your awesome label here.
The preferred hybrid option combines the effectiveness of matching product parameters that are important from the user's perspective with the natural description of human speech.

Comprehensive Product Descriptions

The key to success is an appropriate product description. It should be detailed and include product attributes such as color, material and unique features. The description of use cases and purpose is key information that will allow you to build context. It is important to use natural language and avoid jargon and overly technical terms whenever possible.

Example:

The minimalist white design provides a clean and versatile look that pairs perfectly with any outfit. From jeans to dresses, these shoes are a wardrobe staple. Featuring a cushioned insole and breathable materials, these shoes offer all-day comfort. The lightweight construction ensures ease of movement, making them ideal for a busy lifestyle. Whether you’re meeting friends for coffee, exploring the city, or just enjoying a day out, these shoes offer the perfect blend of style and practicality. Crafted with environmentally conscious materials, these shoes are a stylish choice that also supports sustainable fashion.

How to implement?

Semantic Search is available for existing customers. This is one of the three options available when building a search engine index. Currently available in PUBLIC PREVIEW mode. This means that before starting the setup you should contact our Help Desk.

Remember that from now on we start searching with: Hi, search! Show me white, lifestyle shoes please ;)

Dominik Królikowski

Business Value Services & Marketing Director