π What is Search Result Diversification

Users donβt always have the same intent, even if they input the same query into a search engine.
Though the query might be identical, their intent, search behavior, and context can vary significantly.
β‘οΈ For search engines, fulfilling the needs of every searcher efficiently is not a simple task.
π How Search Engines Diversify Search Results:
To meet diverse user needs, search engines diversify results based on:
- π Fresh Queries
- π Indexed Documents
- π Personalization
- π Past Queries of Users
- π User Location
π― Why Search Results Diversification Matters:
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π΄ Helps users find highly relevant information quickly.
This aligns with the Information Foraging Theory:
Rate of Gain = Information Value / Cost Associated with Obtaining that Information -
π΄ Addresses varied searcher intents.
Example: A search for "apple" could mean either the fruit or the tech company. -
π΄ Caters to different user behaviors on SERPs.
User behavior can differ based on:- π Location
- π Past Searches
- π Context
- π» Activity on the search engine
πΈοΈ Diversification at the Website Level:
Even websites can experience diversification challenges.
π Multiple pages ranking for the same keyword can lead to keyword cannibalization.
To manage this, search engines may:
- β Prioritize one page over another
- β Cluster similar pages under a different SERP design, such as "site-links"
π‘ The Takeaway:
Search engines diversify search results to accommodate users' distributed intent and different behaviors.
From an SEO perspective, your goal should be to:
- π Create a universal webpage for every content format
- π Cover every contextual layer of the user's search journey