The academic community continues to debate what constitutes a "good" search result.
: 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". Search results for goos
: Research has explored how organizing results into dynamic categories or clusters can be more helpful for general questions compared to standard relevance rankings. Studies also indicate that users often trust and select top-ranked results even if they are less relevant or credible. The academic community continues to debate what constitutes
“Top web search results from search engines are topically biased. Diversity fairness can improve diversity and relevance in retrieval results.” ScienceDirect.com : Research has explored how organizing results into
Investigates methods to reduce topical bias and improve result diversity.
Examines how grouping results helps users explore general topics.