Investigates methods to reduce topical bias and improve result diversity.
Compares relevance patterns between major search engines like Google and Bing. Search results for goos
The academic community continues to debate what constitutes a "good" search result. Investigates methods to reduce topical bias and improve
: Significant research identifies a positive relationship between past user data and search engine quality. For example, studies show that while new entrants can match established engines for popular queries, having a history of user-generated data is critical for providing high-quality results for "rare queries". “I recommend looking for the most recent article
Quantifies how past user data improves results for rare, complex queries.
“I recommend looking for the most recent article on your topic, since the literature cited... will also be the most recent.” UC Santa Barbara · 3 weeks ago
Academic literature typically categorizes the study of search results into several major areas: