OpenContent License, unless specifically labeled as such. REQUIRED TEXTS. Robert R. Korfhage. Information Storage and Retrieval, first edition (John Wiley. SIS/DIST Information Retrieval course is designed to provide you with unique The book written by the late SIS Professor Korfhage provides an appropriate. Robert R. Korfhage is the author of Information Storage and Retrieval ( avg rating, 15 ratings, 1 review, published ), Discrete Computational Str.
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A Tale of the Two Measures. One main course book and most of the recommended books have been reserved for you in the Information Sciences Library.
Also, almost all of them are at least several years old and do not cover energing topics such as Web IR, personalized information access, or information visualization. Journal of the American Society for Information Science, 50 9 Francis de la C. While being relatively old, it still provides a better treatment of the subject and for smaller price then a number of more recent book. Some simple effective approximations to the 2—poisson model for probabilistic weighted retrieval. The anatomy of a large-scale hypertextual web search engine.
Readings in information visualization: The vast availability of information sources has created a need for research on automatic summarization. Journal of the American Society for Information Science, Exploring the similarity space.
You can locate the reserved books through Course Reserves. Some lectures may have additional readings assigned from these books. Journal of Intelligent Information Systems, 24 1 Lecture notes Week 13 Evaluation issues Content Seven criteria for evaluation for information retrieval, Average recall and average precision, Harmonic mean, evaluation of a search engine, relevance issue, Kappa measure, quality versus quantity, Possible factors which influence outcome of a search, Grandfield experimental study Reading: Journal of Documentation, 60 5pp.
Week 12 Image retrieval Content Content-based image retrieval, image feature description, color, color histogram, color order system, texture, Shape, characteristics of image queries, image system applications, image retrieval systems Reading: On theoretical arguments for IDF.
Information Visualization Content Visualization, visualization for information retrieval, analysis of traditional information retrieval systems, navigation problems on WWW, why use visualization for information retrieval, core of visualization for information retrieval, functionality of visualization, Boolean-based information retrieval system, non-Boolean-based information retrieval system, visualization of web-based information,consideration from cognitive engineering, history of visualization, technical environment for the visualization, potential research topics.
Papers will characterize current issues associated with the topic, discuss the state of the infotmation of the topic, evaluate sample systems, and outline future directions abd the area.
Information Processing and Management, 32 2pp. A survey of probabilistic models in information retrieval. The books listed in this section are not required to complete the course but can be used by the students who need retireval understand the subject better or in more details. Communications of the ACM, 44, 8, pp. Chapters 4 and 5.
Both book has been used for IS in the past, so you may have a good chance to borrow it from the students who took this course in the past. Papers must integrate a minimum of 15 relevant sources. Journal of Computer-Mediated Communication 12 4.
Both are relatively recent excellent textbooks oriented to Computer Science students. To outline basic terminology and components in information storage and retrieval systems To compare and contrast information retrieval models and internal mechanisms such as Boolean, Probability, and Vector Space Models To outline the structure of queries and documents To articulate fundamental functions used in information retrieval such as automatic indexing, abstracting, and clustering To critically evaluate information retrieval system effectiveness and improvement techniques To understand the unique features of Internet-based information retrieval To describe current trends in information retrieval such as information visualization.
Attendance is mandatory and class participation is expected.
Scientific Research An Academic Publisher. A good benefit of being “old” is the availability of many copies of this book used or new from private sellers on Amazon.
Information filtering and information retrieval: Pennock, and Gary W. Week 14 Student presentation Note: User interfaces and visualization. This function classifies sentences into two groups: Learning the k in k-means.