PPT-Search Query Log Analysis

Author : olivia-moreira | Published Date : 2018-09-19

Kristina Lerman What can we learn from web search queries Characteristics Length has steadily grown over the years 1990s lt 2 terms 2001 24 terms 2014 long search

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Search Query Log Analysis: Transcript


Kristina Lerman What can we learn from web search queries Characteristics Length has steadily grown over the years 1990s lt 2 terms 2001 24 terms 2014 long search queries eg where is the nearest coffee shop. Hugh E. Williams. hugh@hughwilliams.com. http. ://. hughewilliams.com. @. hughewilliams. Search in Industry. A few stories with practical illustrations:. Understanding users with A/B testing at scale. Information Retrieval in Practice. All slides ©Addison Wesley, 2008. Search Engine Architecture. A software architecture consists . of . software . components, the interfaces provided by those . components, and . in . SharePoint 2013 and O365. Mikael . Svenson. Principal Consultant. Puzzlepart. SPC382. David . Hollembaek. Senior Consultant. Microsoft. Agenda. The Problem. The Plan. The Tools. The Problem. Is this a good search result?. Sai . Vallurupalli. What are query logs useful for?. In Social Sciences, Medical & Health, Advertising & Marketing, Law Enforcement etc. . Understanding Search Behavior – Trends and Hot Trends. Ryan . McIntyre. MCITP. , MCPD. Director. , Portals & Collaboration. SharePoint 2013 Search Overview. Changes from 2010. Search Solutions. OOTB Web . Parts Review. API. Server side. Client side. Leave Now…Or…. a TASTIER Approach. Guoliang. Li. 1. , . Shengyue. Ji. 2. , Chen Li. 2. , . Jianhua. Feng. 1. 1 . Tsinghua. University, Beijing, China. 2 . University of California, Irvine, CA, USA. Traditional Keyword Search. Ruirui. Li, Ben Kao, Bin Bi, . Reynold. Cheng, Eric Lo. Speaker:. . Ruirui. Li. 1. The University of Hong Kong. Outline. Motivation. Problem Statement. DQR Model. Experiments & Evaluation. 2. 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 . Brian Pendergrass and Jon Waite. Premier Field Engineers. Microsoft. SPC375. Who is this session for?. SharePoint IT professionals who support/manage Search environments. 300 level content. Discussion of . 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”. All slides ©Addison Wesley, 2008. Search Engine Architecture. A software architecture consists . of . software . components, the interfaces provided by those . components, and . the relationships between . Information Retrieval – Spring 2015. Indian Statistical Institute Kolkata. Search engines. 2. User needs some information. Assumption: the required information is present somewhere. A search engine tries to bridge this gap. 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) .

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