From INFORMATION RETRIAL to CONTENT RECOMMENDATION
Fom QUERY to DIALOGUE
Where do push and pull search meet?
Where do push and pull search meet?
Enbeddings
Having a common vector space is enabling new level of interactions with content
How are Push and Pull different?
How are Push and Pull different?
@CyberAndy analyzed 10.000+ featured images from a gaming website that rank respectively on Google Search and on Google Discover.
Andy used a new a technique that leverages CLIP and Topic-based clustering to group images from the two clusters (Search and Discover) and found out that…
Google Search
Google Search
Google Discover
Google Discover
On Google Discover the cluster of content that doesn’t exist on Google Search is made of images related to twitch, gamers, video recordings that is similar to social media content.
How does a Knowledge Graph scale?
How does a Knowledge Graph scale?
Search Results change constantly
Search Results change constantly
How the Knowledge Graph looks like...
How the Knowledge Graph looks like...
As we transition from push to pull
Average position is not longer relevant, as SEOs we need new tracking tools that can track user experience
The challenge is to scale content production and think in terms of relationship and multimodality
Search is becoming MULTIMODAL...
Search is becoming MULTIMODAL...
An element like People Also Ask can be turned into a video like it happens with Google Cameos