Selective Exploration of Commercial Documents in Web Search Alexander Shishkin, Ekaterina Gladkikh, Aleksandr Vorobev Yandex 16 Leo Tolstoy St., Moscow, Russia

First Page		Document Content
Date: 2017-10-04 00:22:08 Information science Information retrieval Information retrieval evaluation Machine learning Natural language processing Discounted cumulative gain Ranking Algorithm Web search engine Multi-armed bandit Relevance feedback		Selective Exploration of Commercial Documents in Web Search Alexander Shishkin, Ekaterina Gladkikh, Aleksandr Vorobev Yandex 16 Leo Tolstoy St., Moscow, Russia Add to Reading List Source URL: gdac.uqam.ca Download Document from Source Website File Size: 760,92 KB Share Document on Facebook

	Online Learning for Personalized Room-Level Thermal Control: A Multi-Armed Bandit Framework Parisa Mansourifard Farrokh Jazizadeh DocID: 1vhJI - View Document
	Supplementary Material for ”Combinatorial multi-armed bandit: general framework, results and applications”, by Wei Chen, Yajun Wang, and Yang Yuan. A. Full proof of Theorem 1 We use the following two well known bound DocID: 1v3uQ - View Document
	Combinatorial Multi-Armed Bandit: General Framework, Results and Applications Wei Chen Microsoft Research Asia, Beijing, China DocID: 1uuiO - View Document
	THE NON-BAYESIAN RESTLESS MULTI-ARMED BANDIT: A CASE OF NEAR-LOGARITHMIC REGRET Wenhan Dai†∗ , Yi Gai‡ , Bhaskar Krishnamachari‡ , Qing Zhao§ † School of Information Science and Technology, Tsinghua Universit DocID: 1uswd - View Document
	Online Algorithms for the Multi-Armed Bandit Problem with Markovian Rewards arXiv:1007.2238v2 [math.OC] 26 JulCem Tekin, Mingyan Liu DocID: 1u0WJ - View Document