Using the SRE (snap recommendation engine), Snapzu parses particularly popular words within each snap into action words. Once parsed, we process those action words using a number of weight parameters retained from content specific locations and assign importance that help select the most accurate related content.
You will notice that if you visit a snap where the main topic (for example) is “Lions” which is generally about nature, you will see additional recommended content about that same topic.
This allows the system to recommend snaps about lions, and or other animals (i.e tigers, hyenas, etc.), or nature in general. As the amount of snaps published increases the SRE algorithm will index more action words, and the system will not only become better at recommending related snaps, but it will become more accurate in it's recommendations due to the sheer number of additional snaps it has processed.
It is crucial that snaps are being accurately recommended so that we can increase the amount of snaps a user will find relevant to the content they are browsing.