Finds that explaining why a result was ranked increases user trust and efficiency. Academic Perspectives on Search Quality
Examines how grouping results helps users explore general topics. Search results for goos
“Top web search results from search engines are topically biased. Diversity fairness can improve diversity and relevance in retrieval results.” ScienceDirect.com Finds that explaining why a result was ranked
Academic literature typically categorizes the study of search results into several major areas: Diversity fairness can improve diversity and relevance in
: 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".
Investigates methods to reduce topical bias and improve result diversity.
“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