PPT-Extracting Query Facets From Search Results

Date 20130820 Source SIGIR13 Authors Weize Kong and James Allan Advisor DrJia ling Koh Speaker Wei Chang 1 Outline Introduction Approach Experiment. 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. 李晨. ). Chen . Li. Scalable Interactive Search. NFIC August 14, 2010, San Jose, CA. Joint work with colleagues at UC Irvine and Tsinghua University.. Bimaple. Technology. Haiti Earthquake 2010. 7.0 Mw earthquake on Tuesday, 12 January 2010.. 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. 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. Bhanu C Vattikonda, Santhosh . kodipaka. , . hongyan. . zhou. , . vacha. . dave. , . saikat. . guha. , . alex. c . snoeren. 1. Organic . results. Sponsored. results. Query. 2. 3. women’s shoes. 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. Ryen W. . White, Matthew Richardson, Mikhail Bilenko. Microsoft Research. Allison Heath. Rice University. User Loyalty. Users are generally loyal to one engine. Even when engine switching cost is low, and even when they are unhappy with search results. Name. Title. Company. Agenda. SharePoint Search. Capabilities. Architecture. FAST Search. Capabilities. User Centric Search. Architecture. Common features. Search UI Customization. Enterprise Search Product Portfolio with Wave 14. With People. Jaime Teevan, Microsoft Research, @. jteevan. Microsoft: Kevyn Collins-Thompson. , . Susan Dumais. , Eric Horvitz. ,. Adam Kalai, Ece Kamar,. . Dan Liebling, . Merrie. Morris, Ryen . White. Identifying Relevant Websites. from User Activity Data. Misha Bilenko and Ryen White. presented by Matt Richardson. Microsoft Research. Search = Modeling User Behavior. Retrieval functions estimate relevance from behavior of several user groups:. Dr. Susan Gauch. Pruning Search Results. If a query term has many postings. It is inefficient to add all postings to the accumulator and then sort the results. Just reading all postings from the inverted file is not scalable when a word may be in a billion documents. 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”. 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 .