How it works

Search engines like Google or Bing do not differentiate between different types of websites, they use the same relevance criteria for all of them regardless of the type of information.

At Linknovate, we focus on showing relevance to companies and researchers, so our users can find in seconds the same and more information that would take hours to find in a traditional search engine.

Also, we use machine learning and natural language processing to identify the organizations behind the document that matches the user's query and we can aggregate the results in a unique way to show which are the relevant players in an area or topic.

This are the relevant factors that we use in our ranking algorithm.

• We take into consideration the number of keyword repetitions in the textual content of the documents.
• Linknovate ranking is specially designed for the industry and applied R&D and we know that one of the most important factors is the newness of a document.
• Other factor is the distance between the user's search keywords. We know... this is easy to understand with an example. If the user search has 2 words and they appear together, this document will receive a higher score that other documents that contain the same words but they appear in opposite places of the text.
• Once we set the score of each document that matches the user search, we aggregate the scores of all documents retrieved for each organization behind them and we figure the final ranking.

At Linknovate we prefer to focus on up-to-date data, we are expanding coverage and regular updating our database to bring the most value to our users: companies, R&D managers, technology scouters, and researchers in general.

We currently have more than 76,4M documents indexed and 11,5M organization profiles and counting. We are building the biggest research database. We are doing that by focusing on:

You can use search operators and other punctuation to get more specific search results. Except for the examples below, Linknovate Search ignores punctuation.

Maybe you are asking yourself about the AND and OR operators. We want to make our website accessible to anyone, so we have discarded the use of the punctuation of this logical operators and we have developed an interface to help people without experience in search engines perform complex queries.

Imagine that you have searched biometric sensor. We will show you all documents that contain both words.

Then you want to expand your original query to show also topics related to biosensors. We will show you all documents that contain biometric sensor or biosensor.

After looking at the results you want to refine your previous search to topics related to eyes. We will show you the documents that contain biometric sensor or biosensor, and from those documents, we will exclude those that doesn't contain eyes.

Something got your attention and now you are interested in sensors related to eyes and face. We will show you the documents that contain biometric sensor or biosensor, and from those documents we will exclude those that doesn't contain eyes or face.

So simple as that.

Do you want to know how we compute the score for each document? Check out our ranking section.