CS 572: Information Retrieval. Lecture 1: Course Overview and Introduction 11 January 2016
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1 CS 572: Information Retrieval Lecture 1: Course Overview and Introduction 11 January /11/2016 CS 572: Information Retrieval. Spring
2 Lecture Plan What is IR? (the big questions) Course overview Logistics Toy example 1/11/2016 CS 572: Information Retrieval. Spring
3 Information Retrieval Information retrieval is a field concerned with the structure, analysis, organization, storage, searching, and retrieval of information Gerald Salton, 1968 Compare to Google corporate mission: Google's mission is to organize the world's information and make it universally accessible and useful. 1/11/2016 CS 572: Information Retrieval. Spring
4 Lots of Data Ex: Large Hadron Collider: 36 Billion events per minute. How much of this data is useful information? 1/11/2016 CS 572: Information Retrieval. Spring
5 Fundamental Mismatch Computers deal with data Humans (and systems) want useful information Examples: Structured Data (easiest): bits schema query Text: bits represented as words Audio: bits speech recognition words Images: bits image processing computer vision object recognition <tags>? Video: image processing+audio+activity recognition? 1/11/2016 CS 572: Information Retrieval. Spring
6 Search Challenges (2002) UMass CIIR report, 2002 Global information access: Satisfy human information needs through natural, efficient interaction with a system [over the world s data] in any language. Contextual retrieval: Combine search technologies and knowledge about query and user context to provide the most appropriate answer for a user s information needs. 6
7 A classic IR Task Given: A corpus of textual natural-language documents. A user query in the form of a textual string. Find: A ranked set of documents that are relevant to the query. Contrast with database/sql queries 1/11/2016 CS 572: Information Retrieval. Spring
8 A search model TASK Info Need Verbal form Query Misconception? Mistranslation? Misformulation? Get rid of mice in a politically correct way Info about removing mice without killing them How do I trap mice alive? mouse trap SEARCH ENGINE Query Refinement Results Corpus 1/11/2016 CS 572: Information Retrieval. Spring
9 Information Retrieval Challenges Understand user s query (information need) Interpret and organize data (indexing) Rank documents by expected utility for user Find answers to show to user Evaluate, improve search, repeat 1/11/2016 CS 572: Information Retrieval. Spring
10 Specific Challenges (2012) Beyond ranked list: enrich querying & results IR for all: empower the user to search & learn Capture context: current task, time, etc. Beyond document retrieval: complex data & result integration Domain search: Verticals, apps, restricted data Evaluation: for new search types, tasks SWIRL 2012 report PROMISE 2012 report 10
11 History of the (IR) World: the Ancients Vanevar Bush: As we may think : Memex, 1945 proto-ir desktop search Gerald Salton: founder of IR as field 1/11/2016 CS 572: Information Retrieval. Spring
12 History: the mainframe era (50s-70s) High-level programming languages Fortran, Ada, Cobol, Data structures Sorting Searching Routing Graph theory Internet (ARPA-net) Salton develops IR 1/11/2016 CS 572: Information Retrieval. Spring
13 IR System (80 s, 90 s) Document corpus Query String IR System Ranked Documents 1. Doc1 2. Doc2 3. Doc3.. 1/11/2016 CS 572: Information Retrieval. Spring
14 History: the Web (90s) Distributed computing Mosaic, Netscape, IE Web search Alta Vista, Excite 1/11/2016 CS 572: Information Retrieval. Spring
15 Google architecture (circa 1998) 1/11/2016 CS 572: Information Retrieval. Spring
16 Web 2.0: Now 1/11/2016 CS 572: Information Retrieval. Spring
17 Search Engine Architecture: Indexing 1/11/2016 CS 572: Information Retrieval. Spring
18 Search Engine Architecture: Querying 1/11/2016 CS 572: Information Retrieval. Spring
19 And in this course 1/11/2016 CS 572: Information Retrieval. Spring
20 Course Logistics Lectures: Monday, Wed: 11:30am-12:45pm, W301 Following dates will be rescheduled or canceled: Feb 22, 24 (WSDM 2016); March 16 (CHIIR 2016); April 18. Office hours: TBD, most likely Tue and/or Thu afternoons. Communication: Piazza (experiment): Course Website (not yet updated): 1/11/2016 CS 572: Information Retrieval. Spring
21 Logistics: Course structure Two parts: Part 1: (roughly through end of February): Fundamentals: indexing, retrieval, ranking, evaluation Part 2: Research topics in IR and Web search: Grading: Web, web 2.0, social networks, (more later) Two implementation homeworks: 30% Midterm exam: 25% Final project: 45% (proposal, implementation, presentation, report). 1/11/2016 CS 572: Information Retrieval. Spring
22 Texts BCC: Information Retrieval, Büttcher, Clarke, and Cormack, MIT Press: ($$) MRS: Introduction to Information Retrieval, Manning, Raghavan and Schütze, Cambridge University Press (free online): SUI: Search User interfaces, Marti Hearst, CUP, free online: Additional readings will be posted online as needed. 1/11/2016 CS 572: Information Retrieval. Spring
23 Approximate course outline Week 1: Introduction, Boolean retrieval Week 2: Foundations (Information Science/Theory): Information seeking/user models; Text representation Week 3: Text representation: Tokenization, phrases, entities. Indexing Week 4: Indexing (cont d): data structures; Retrieval algorithms; HW 1 due Week 5: Evaluation (metrics, test collections, statistical tests). Week 6: Ranking: Boolean and vector-space retrieval models, Probabilistic retrieval models Week 7: Ranking: Language modeling, Learning-To-Rank; HW 2 due Week 8: Loose ends; Midterm Exam Week 9: Semantics, Knowledge bases; Final Project Proposals Week 10: Latent semantic indexing (LSA/pLSA, LDA). Week 11: Result Presentation/User Interfaces: Snippet generation, summarization Week 12: Interactive IR, user feedback Week 13: Question answering/spillover Week 14: Final project presentations 1/11/2016 CS 572: Information Retrieval. Spring
24 Sample final projects from previous courses Query personalization Similar people finder in CQA Search satisfaction prediction Question Answering Course recommendation 1/11/2016 CS 572: Information Retrieval. Spring
25 Your Turn What do you want to get out of this course? 1/11/2016 CS 572: Information Retrieval. Spring
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