Currently, search scores are not normalized between 0 and 1, potentially impacting the consistency of result rankings. There's a need to implement score normalization within the range of the search results returned. Additionally, we should consider integrating other relevant signals from our PostgreSQL database to enhance the re-ranking process.
Tasks
Investigate the current scoring algorithm to understand the bounds of search scores.
Develop a normalization function to scale search scores between 0 and 1 within the context of each particular set of search results.
Design and implement a method to integrate PostgreSQL database signals with the existing search scores.
Acceptance Criteria
Search scores are normalized between 0 and 1 for every set of search results returned.
PostgreSQL signals are effectively integrated into the re-ranking algorithm.
Currently, search scores are not normalized between 0 and 1, potentially impacting the consistency of result rankings. There's a need to implement score normalization within the range of the search results returned. Additionally, we should consider integrating other relevant signals from our PostgreSQL database to enhance the re-ranking process.
Tasks
Acceptance Criteria