PPT-Search Query Categorization at Scale

Ann ArborDetroit NLPers A2DNLP Meetup Alex Dorman CTO alex at magnetic dot com Michal Laclav í k Sr Data Scientist m ichallaclavik at magnetic dot com Who We . Alexander . Kotov. (UIUC). . Pranam. . Kolari. , Yi . Chang (Yahoo!). Lei . Duan. (Microsoft). Motivation. Improvements in ranking can be achieved in two ways:. Better features/methods for promoting high-quality result pages. Gu Xu. Microsoft Research Asia. Mismatching Problem. Mismatching is Fundamental Problem in Search. Examples:. NY ↔ New York, game cheats ↔ game . cheatcodes. Search Engine Challenges. Head or frequent queries. Mechanisms of Categorization in InfancyThe ability to categorize underlies much of cognition. It is a way of reducing the loadon memory and other cognitive processes (Roch, 1975). Because of its funda Jianfeng Gao, MSR. (Joint work with . Jian. Huang, . Jiangbo. Miao, Xiaolong Li, Kuansan Wang and Fritz Behr). Outline. N-gram language model (LM) ABC. N-gram LM at Microsoft. Bing-It-On-. Ngram. Building Web scale N-gram LM. Aleksandar. R. . Mihajlovic. Technische. . Uni. versität München. mihajlovic@mytum.de. +49 176 673 41387. +381 63 183 0081. 1. Overview . Explain input data based imputation algorithm categorization scheme. Jaime . Teevan. , Microsoft . Reseach. dub 2013. David Foster Wallace. Mark Twain. Cowards die many times . before their deaths. . Annotated by Nelson Mandela. I . have discovered a truly marvelous proof . Security Categorization of Information and Information Systems. Purpose: . To establish protection profiles and assign control element settings for each category of data for which an Agency is responsible. Security Organization is the basis for identifying an initial baseline set of security controls for the information and information systems. . Kristina . Lerman. What can we learn from web search queries?. Characteristics. Length has steadily grown over the years. 1990’s: < 2 terms. 2001: 2.4 terms. 2014: long search queries, e.g., “where is the nearest coffee shop”. Kristina . Lerman. What can we learn from web search queries?. Characteristics. Length has steadily grown over the years. 1990’s: < 2 terms. 2001: 2.4 terms. 2014: long search queries, e.g., “where is the nearest coffee shop”. (Goldstein Ch 9: Knowledge). Psychology 355: Cognitive Psychology. Instructor: John Miyamoto. 05/10/2018: . Lecture . 07-4. Note: This . Powerpoint. presentation . may contain . macros that I wrote to help me create the slides. . Wayfinding. Strategy. Thomas J. Pingel. Northern Illinois University. Victor R. . Schinazi. ETH Zürich. Annual Meeting of the Association of American Geographers, Tampa, FL, April 11, 2014.. Session: Cognition. 1 January 27 2009 RT NOTE The Tips and Techniques for Organizations are provided as one example of how SP 800-60 may be implemented to categorize federal information and information systems in accord Course Goal. The goal of this course is to teach end users of ctcLink PeopleSoft to find and retrieve Queries and Reports in the most effective manner.. Course Learning Objectives. At the end of this course users will:. Laboratory of Mathematical Chemistry,. Bourgas University “Prof. Assen Zlatarov”. Bulgaria. 2. What is Query Tool?. Environmental fate - examples (BCF, BOD) . Human health hazard - examples (AMES and Carcinogenicity) .