Category Archives: Elasticsearch

How OER World Map determines search result order

OER World Map collects a lot of data. This is essential for making data centrally available, but as more is collected, the difficulty of finding a specific item increases, regardless of license or data content. Therefore, as data in OER World Map increases, it is very important to implement efficient and targeted search and ranking algorithms.

There are search algorithms, whose complexity, efficiency and confidentiality are impressive. The major search engines in the world are clear examples. Of course, a relatively small non-profit project as the OER World Map can not develop a such complex search algorithm from its own resources. This is also not desirable because the platform is built on the principles of transparency and openness. Continue reading