Practice search personalization vocabulary: personalized ranking, freshness boosts, location-based query rewrites, A/B testing personalization, and click-through rate improvements.
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1 / 5
'Personalized ranking uses user _____.' What data is used to customize search result order?
User history (past searches, clicks, purchases, views) is the primary signal for personalized ranking — showing results that align with what the individual user has engaged with previously.
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'The freshness _____ applies to recent documents.' What ranking technique prioritizes newer content?
A 'freshness boost' is a ranking adjustment that increases the score of recently published or updated documents, useful for news, product listings, and time-sensitive content.
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'The query rewrite uses the user's _____.' What context is injected to localize search?
Location-based query rewrites add geographic context — 'coffee shop' is rewritten as 'coffee shop near [user location]' — improving relevance for location-sensitive queries.
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'A/B testing search personalization' compares:
A/B testing search personalization runs two variants — one with personalized ranking and one with non-personalized (control) — to measure whether personalization actually improves user outcomes.
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'The click-through rate improved with personalized results.' What does a higher CTR indicate?
Higher CTR on search results indicates that users are more often finding relevant results in the visible rankings — a key signal that personalization is improving result quality.