PPT-Queries

and Interfaces Information Retrieval in Practice All slides Addison Wesley 2008 Information Needs An information need is the underlying cause of the query that a person submits to a search . joint work with Dan . Suciu. (University of Washington). Alexandra Meliou. Hypothetical (What-if. ). Queries. Brokerage company. DB. Key Performance Indicators (KPI). Example from [. Balmin. et al. VLDB’00]:. Speaker: . Rui-Rui. Li. Supervisor: Prof. Ben Kao. 1. Outline. Introduction. Motivation. Methods. -using click-through data. -using session data. -context aware query suggestion. -other methods. Conclusion. 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. Software-Defined Networks. Srinivas Narayana. Jennifer Rexford and David Walker. Princeton University. Where’s the packet loss?. A. B. Faulty network device(s) along the way. But where?. 2. 100 . pkts. 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. Shengliang. . Dai. Background . Queries over large scale (petabyte) data bases often mean waiting overnight for a result to come back. . Scale costs time. . Potential. . avenues of exploration are ignored because the costs are perceived to be too high to run or even propose them. . Jie Bao Chi-Yin Chow Mohamed F. Mokbel. Department of Computer Science and Engineering. University of Minnesota – Twin Cities. Wei-Shinn Ku. Department of Computer Science and Software Engineering. 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…. Microblog. Search and Web Search. WSDM . Microblog. Papers. TwitterRank. : Finding topic-sensitive influential . Twitterers. . [. Weng. , Lim, Jiang, He]. Everyone's an influencer: Quantifying influence on Twitter . Odysseas. . Papapetrou. and . Minos. . Garofalakis. SoftNet. laboratory, Technical University of Crete. New . requirements for skylines. Distributed and P2P algorithms, tracking of skylines, etc.. Software-Defined Networks. Srinivas Narayana. Jennifer Rexford and David Walker. Princeton University. Where’s the packet loss?. A. B. Faulty network device(s) along the way. But where?. 2. 100 . pkts. Batched. Range Median. Extensions. Maintain a. set of. . n. points in. the plane.. In the static. case the point set is fixed, and in the dynamic case points can be inserted and deleted. The objective is to use small space and support efficient range median queries.. Visual Queries Dr. Neil H. Schwartz Visualization: Defined Visualization refer to the 2D and 3D static and animated visual displays that depict conditions, situations, processes, places or events as they appear in maps, diagrams, graphs, pictures, schematics, data-based spatial or linear renditions, and immersive virtual environments Pankaj. . Vanwari. . Under guidance of . Dr. S. . Sudarshan. . Overview of Presentation. Introduction to Entity Queries. Keyword search on structured data. Querying over unstructured data. Entity queries using ontology based extraction.