Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Language and representation in information retrieval
Language and representation in information retrieval
Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
Information retrieval interaction
Information retrieval interaction
Information storage and retrieval
Information storage and retrieval
Information seeking in electronic environments
Information seeking in electronic environments
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Information Retrieval
Modern Information Retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
The Evolution of the Web and Implications for an Incremental Crawler
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Who Links to Whom: Mining Linkage between Web Sites
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
A large-scale study of the evolution of web pages
Software—Practice & Experience - Special issue: Web technologies
The Geometry of Information Retrieval
The Geometry of Information Retrieval
Information Retrieval: Algorithms and Heuristics (The Kluwer International Series on Information Retrieval)
The indexable web is more than 11.5 billion pages
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
The Turn: Integration of Information Seeking and Retrieval in Context (The Information Retrieval Series)
An Introduction to Search Engines and Web Navigation
An Introduction to Search Engines and Web Navigation
An inquiry-based learning approach to teaching information retrieval
Information Retrieval
Teaching web information retrieval to undergraduates
Proceedings of the 41st ACM technical symposium on Computer science education
Hi-index | 0.00 |
When teaching Web Information retrieval (IR), a teacher has two alternatives: (i) to teach the classical pre-Web IR issues first and present the Web specific issues later; or (ii) to teach directly the Web IR discipline per se. The first approach has the advantages of building on prerequisite knowledge, of presenting the historical development of the discipline, and probably appears more natural to most lecturers, who have followed the historical development of the field. Conversely, the second approach has the advantage of concentrating on a more modern view of the field, and probably leads to a higher motivation in the students, since the more appealing Web issues are dealt with at course start. I will discuss these issues, I will mention the approaches followed in the (rather few) Web IR books available, I will make some comparisons with the teaching of related disciplines, and I will also summarize my experience and some feedback from my students (I have been teaching a Web IR course for two Master's degrees in Computer Science and Information Technology at Udine University for the last two years; I had about twenty students each year; and I followed the first approach).