What is Deep Search? Benefits of “deep search-as-a-service.”
What is deep search?
Deep search is the reinforcement of search algorithms using deep learning and NLP to provide more accurate, relevant results. Natural language processing (NLP) allows the algorithm to refine unstructured data into data signals usable for training. Deep learning analyzes both structured data and unstructured data to provide users with results that understand semantic meaning and sentiment.
Unlike conventional search engines, deep search not only focuses on matching exact words and phrases, but learns patterns and connections between data. This gives it the ability to understand long, complex search queries and capture user intent.
Due to the complexity of its algorithms, creating such a model requires training of neural networks on large amounts of data. Training a model to understand the semantic relationships of words is a multi-step process that requires a lot of internal, external, structured, and unstructured data.
Benefits of deep search in e-commerce
Despite the time consuming process of training a deep search model, there are a number of reasons why businesses choose to implement deep search into their platforms. Even though training these models are quite labor-intensive and costly, businesses opt to use deep search models due to the various advantages they can bring.
In e-commerce, where product discovery and visibility are essential to obtaining profit, deep search is used to make sure the right goods are being shown to the right customers.
- Better user experience
Providing relevant search results by using deep search algorithms allows for a better customer experience. Helping customers find what they want not only saves them time, but also impacts the quality of their experience on your site.
- Product Visibility
Using deep search allows your business to make products and services visible to potential customers. Relevant results allow for personalized experiences that reduce bounce rate and lead to more conversions.
- Increased Revenue
Customers that are connected to relevant products are more likely to make purchases on your site. Understanding search intent and customer needs is a crucial factor in increasing your site’s revenue.
- User Insight
By implementing deep search, businesses can gain insight on user behaviors and preferences. By utilizing all types of data, the model is trained to provide better and better results after time. This allows businesses to make strategic decisions that help make critical business decisions and boost growth.
What is “deep-search-as-a-service?”
“Search as a service” is a SaaS model that provides APIs for site search, helping businesses arrange their data and provide better customer interactions. Search solutions help businesses provide the platform’s users with relevant results based on their search queries. Search as a solution models can be combined with deep search technology to go beyond flat search results and provide more effective, engaging results.
Employing a search-as-a-service API to enhance the capabilities of your platform’s search engine can dramatically reduce costs and save time, especially when equipped with a sophisticated deep search algorithm. Deep search-as-a-service APIs are formed with sophisticated NLP models and machine learning algorithms to form a convenient search-based service. These can be integrated with your product range, resulting in a powerful and engaging search engine.
Semantic search capabilities understand contextual relationships within search queries, giving insight into user preferences and providing results that understand user intent. In addition, advanced AI models are not limited to managing data with a predetermined format. These models also utilize unstructured sources of information such as reviews and comments to develop their potential and capabilities over time.
There are a diversity of SaaS and NLP companies out there that are using SaaS models to sell search solutions. However only a handful of these companies use natural language and machine learning algorithms to create deep search models that are available for API integration.
Mycelebs Keytalk- a deep search API solution for all business needs
It may seem like Google understands search queries, most of the results found on page one are answers to questions that people have written by hand. In the case of site search, providing personalized answers is harder because this means employees will need to sort through and answer every user inquiry.
Keytalk Suite is a search-as-a-service solution that supports deep search for businesses in all industries. With over 8 years of accumulated data, our technology solves cold-start issues and increases long-tail discovery through state of the art ML algorithms supported by automated updates.
Keytalk is an effective, affordable solution that curtails workloads and frees your team to make strategic decisions. Similar to web search engines like Google, Mycelebs Keytalk works both on mobile applications and on desktops.
It even comes with a voice search that makes deep search more intuitive than conventional search methods. Suitable for all content and products, Keytalk can be configured to match specific business needs. It can be further reinforced over time with both structured and unstructured data.
