MIT Press / McGraw-Hill / Recommender Systems / Oxford University Press / Ranking Methods Compared / Microsoft / /
Country
United States / /
Currency
USD / / /
IndustryTerm
search experience / search process / real web search / web search result / search users / real web search settings / real-world web search / ranker combination algorithms / search session / web search users / web search evaluation / Web Search Result Preferences / web search engine using hundreds / web search queries / search evaluation / search result / web search using web clickthrough data / typical web search query / search sessions / Web track / web search performance / neural net tuning algorithm / Online Information Services / web search experience / web search behaviors / Web-based services / web search features / web search engines rank results / web search results / search engine query logs / web search engine / user search session traces / returned web search results / Internet Computing / search engines / web search engines / web search baseline / rank web search results / Web Search / real web search setting / web search relevance / web rankings / post-search navigation history / web search setting / neural net algorithm / search engine / web search logs / web information search processes / search results / learning algorithms / /
Organization
MIT / MAP RN / Oxford University / American Society for Information Science and Technology / /
Person
Eric Brill Susan Dumais / Robert Ragno / Optimizing / Matt Richardson / Chris Burges / Eugene Agichtein Eric Brill Susan / /
Position
query sample representative / representative / /
Product
BM25F / RankNet / /
ProvinceOrState
Washington / /
PublishedMedium
Machine Learning / /
Technology
RankNet training algorithm / search engine / machine learning / neural net algorithm / Knowledge Management / ranker combination algorithms / Data Mining / specific training algorithms / neural net tuning algorithm / /