PPT-User Search Behaviors:

Insights from Easy Search Transaction Log Analyses William Mischo Mary Schlembach Jason Heldreth Avinash Kumar Grainger Engineering Library Information Center University of Illinois at UrbanaChampaign. David Y. Wang, Stefan Savage, . and . Geoffrey M. Voelker. University . of . California, San Diego. 左昌國. Seminar @ . ADLab. , NCU-CSIE . 18. th.  ACM Conference on Computer and Communications . . Architecture. IBE312. Ch. 3 – . User. . Needs. and . Behaviors. . &. Ch. 4 The . Anatomy. . of. IA. 2013. 2. The combination of organization, labeling, and navigation schemes within an information system. . Information Retrieval in Practice. All slides ©Addison Wesley, 2008. Social Search. Social search . Communities. of users . actively participating. in the search process. Goes beyond classical search tasks. Advertising. Harini. . Sridharan. Stephen Duraski . Introduction/Motivations. Behavioral Targeting (BT) is a technique that uses a user’s web-browsing behavior to determine which ads to display to a user.. 1. Yang Song, . 2. Hongning Wang, . 1. Xiaodong He. 1. Microsoft Research, Redmond. . 2. University of Illinois at Urbana-Champaign. Personalized Search. Tailor search engines for each individual searcher. Normally, users perform search tasks using multiple applications in concert: a search engine interface presents lists of potentially relevant documents; a document reader displays their contents; and a third tool—a text editor or personal information management application—is used to record notes and assessments (MS Word and MS PowerPoint). . Session 6. INST 301. Introduction to Information Science. Muddiest Points. Link types (in, out, back, forward, …). The TF*IDF formula. Behavior. The PageRank Paper. What are Humans Good At?. Sense low level stimuli. . Using . Games. Jinyoung Kim and W. Bruce Croft. 8/19 MSR HCG Group Talk. HCG / GWAP . Goal. Motivate people to solve computational problems. With guarantee that the output is correct. To collect judgments for algorithmic training. Behaviours. :. Making Library Content Appeal to . Digital Information Seekers. Dr. Lynn Silipigni Connaway. Senior Research Scientist. OCLC Research. 100. . Deutscher. . Bibliothekartag. 8 June 2011. What is Education Answers?. A brief introduction . to the resource from LBMW. It is an ever-growing resource of information which users can both search and ask questions about.. We aim to answer all questions in three working days.. 1. Yang Song, . 2. Hongning Wang, . 1. Xiaodong He. 1. Microsoft Research, Redmond. . 2. University of Illinois at Urbana-Champaign. Personalized Search. Tailor search engines for each individual searcher. Hongning. Wang. CS@UVa. Classical search engine architecture. “The . Anatomy of a Large-Scale . Hypertextual. Web Search . Engine”. - Sergey . Brin. and . Lawrence Page, . Computer networks and ISDN systems. All slides ©Addison Wesley, 2008. Social Search. Social search . Communities. of users . actively participating. in the search process. Goes beyond classical search tasks. Key differences. Users interact with the system. Hongning Wang. 1. , ChengXiang Zhai. 1. , Feng Liang. 2. . 1. Department of Computer Science . 2. Department of Statistics University of Illinois at Urbana-Champaign Urbana, IL 61801 USA {wang296,czhai,liangf}@Illinois.edu.