: Papers often evaluate the "relevance-decrease pattern," which measures how effectively search engines like Google and Bing maintain quality as a user scrolls through results. Other studies focus on "diversity fairness," arguing that top web search results can be topically biased and that fairer ranking strategies can improve both diversity and relevance.
Investigates methods to reduce topical bias and improve result diversity.
Academic literature typically categorizes the study of search results into several major areas:
The academic community continues to debate what constitutes a "good" search result.
“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
Social