Using the bayesian algorithm with in WP_Query

The Bayesian algorithm determines the ranking number of a page which has reviews assigned to it. Bayesian scoring is useful as it provides a more meaningful number to sort by than sorting by the average rating as this image demonstrates:

Assigned pages have the following meta_keys saved to them which can be used to sort the pages in a WordPress query loop:

• _glsr_average — The average rating of the page.
• _glsr_ranking — The calculated ranking of the page.
• _glsr_reviews — The number of reviews assigned to the page.

Any pages which do not have assigned reviews will not have these meta_keys!

The “Site Reviews > Help & Support > FAQ” page explains how these meta_keys can be used to sort your pages:

Thank you so much for replying that fast.
Two question here,
1- How to assign the bayesian ranking algorithm to an specific page, is t by using the Page_ID as usual?

2-After embedding The code into the function.php, is there a way to display the ranking using elementor and specify the displayed ranking to a page by ID? as I assume it will be done, not sure of course.

Thanks alot.

1 – That meta_value is updated automatically whenever a review is assigned to the page.

2 – A ranking number looks something like this: 3.7857142857143. You would probably want to display the average rating to the user with the Elementor Rating Summary widget rather than displaying an arbitrary ranking number.

I am already displaying the average rating summery for the users, what I need is to rank and display more accurately.
OK, another question, is there is a way to get the values of the bayesian meta value at the back end, and I will try to figure out some way to display it in the front end. in other words, where to see the meta value in the back end?

Use the get_post_meta WordPress function.

This may help: https://www.hostinger.com/tutorials/wordpress-get_post_meta