Thanks for raising this question with us around follow and like search relevance. If you're using a newer version of Jive (e.g. Jive 8) and Cloud Search, you'll be able to take advantage of Jive Find as outlined here:
What is Jive Find?
Jive Find provides improved search relevance by incorporating social information into search. Search rankings are tailored for individuals based on dynamic signals derived from activity within Jive. As users use Jive, data is generated about activity such as views, creates, responses, and likes. These activities are processed in the Jive Recommender service and summarized into a form that can be used by Jive Search to enhance the relevance of search results. When a user searches for content or places, items that are considered "close" to the user (based on the activities performed by the user or other individuals connected to the user) are given a boost in the search rankings. This personalizes search results for each user.
The details of how user activity translates into levels of boost will change over time as the system is optimized.
So the recommendations, based on user activities, will affect search results and relevance. However, I don't see that bookmarks are calculated into this.
Let me know if you have any other questions on this.