PPT-Perk: Personalized Keyword Search in Relational Databases t

Marina Drosou Computer Science Department University of Ioannina Greece Joint work with Kostas Stefanidis and Evaggelia Pitoura httpdmodcsuoigr Now at the Chinese University of Hong Kong. Also formal definitions of insertion anomaly and deletion anomaly are presented It is shown that a schema is in DKNF if and only if it has no insertion or deletion anomalies Unlike previously defined normal forms DKNF is not defined in terms of trad Yi Chen. Wei Wang. Ziyang. Liu. University of New South . Wales, . Australia. Arizona State University, USA. Arizona State University, USA. Traditional Access Methods for Databases. Advantages: high-quality results. Sanjay . Agrawal. Microsoft Research. Surajit. . Chaudhuri. Microsoft Research. Gautham. Das Microsoft Research. Presented by . Jinyun Yan. Wei Chu. Ryen White. Rutgers University. Microsoft Bing. Microsoft Research. Personalized Search. Many queries have multiple intents. e.g., [H2O] can . be a beauty . product, wireless, water, movie, band, etc.. Kostas Stefanidis. *. Chinese University of Hong Kong. Joint work with M. Drosou and E. Pitoura. University of Ioannina. *Work done while with the University of Ioannina. Introduction. Keyword-based search . Nothing is so practical as a good theory. Kurt Lewin, 1945. The relational model. Overcame shortcomings of earlier database models. Has a strong theoretical base. Codd was the major developer. Problems with other models. Jane Long. MLIS, University of Oklahoma. MA, Wright State University. Reference Services Librarian. Al Harris Library . jane.long@swosu.edu. How do I get started?. 1. . Keywords. 2. Boolean Operators. 3 to 5 products in each Drivers' Perk Bag of auto & lifestyle items that we deliver to our male drivers doors. . What’s in the male Perk Bag? Each month you are able to receive Perk Bags that will feature a range of top-shelf samples - from car tools to cologne to shave creams-plus a full-size product like cell phone gadgets, or a life-style accessory. No two guys are alike, so your bag will be tailored to suit your personal style. By filling out your Drivers' Perk Club Profile, you’ll enable us to pick the products that are right for you (Artsy, Classic, Geeky, Straight Hair, Curly Hair, Thick Hair, Light Skin, Medium-Dark Skin, Light . Life Without Databases: Lists. Lists are often sufficient for simple tasks. Not appropriate for complex information. Multiple lists lead to. Data redundancy. Data inconsistency. Duplicate data. Sorting issues . Ashish Goel. Joint work with Peter Lofgren; Sid Banerjee; C . Seshadhri. 1. Personalized PageRank. 2. Assume a directed graph with . n. nodes and . m. edges. Motivation: Personalized Search. . 3. Motivation: Personalized Search. Cse 344 May 7 th – Exam Review Examination Stations Exam Wednesday 9:30-10:20 One sheet of notes, front and back Practice solutions out after class Good luck! Exam Length Production v. Verification Slide . 1. Relation (Table). name. birth. gpa. grad. Anderson. 1987-10-22. 3.9. 2009. Jones. 1990-4-16. 2.4. 2012. Hernandez. 1989-8-12. 3.1. 2011. Chen. 1990-2-4. 3.2. 2011. VARCHAR(30). DATE. FLOAT. Lecture 11 * Fall 2019 * Kesden. Socrative. https://api.socrative.com/rc/Nfu6Lp. Today’s Goals. A brief introduction to relational databases. A brief introduction to the SQL language used by relational databases. Stefano Grazioli. Critical thinking. ‘Big ERD’ graded. Questions about the next assignment. Identifying / non-identifying relationships. Regular class on Nov 22. 2. Literacy. Big data. Data lake.