1. Current Trends in Databases - Introduction, part 2 - Bettina Berendt and Marie-Francine Moens 11 February 2009

2. Methodology (I) (update of Álvaro‘s intro p. 5) Four sessions during the semester –Introduction to the course (This session!) –Mini conferences: Presentation and discussion of introductory / intermediate / advanced papers in the three fields/themes: Friday 6 March in Hasselt Friday 24 April in Leuven Friday 8 May in Antwerp

3. The KUL topics (1) www.cs.kuleuven.be/~berendt/teaching/2008s/ctdb/times_and_topics.html www.cs.kuleuven.be/~berendt/teaching/2008s/ctdb/times_and_topics.html Package 1: Link analysis Chapter 7 of Web Data Mining by B. Liu, Springer 2007 (Book website) Package 2: Distributed Web retrieval Baeza-Yates, R., et al., Challenges on Distributed Web Retrieval, ICDE 2007 (PDF via Citeseer) Package 3: Opinion mining Chapter 11 of Web Data Mining by B. Liu, Springer 2007 (Book website) AND Boiy, E. & Moens, M.-F. (2008). A machine learning approach to sentiment analysis in multilingual Web texts. Information Retrieval. (PDF) Package 4: Personalisation and Recommender systems Mobasher, B. (2007). Data mining for Web personalization, in Brusilovsky et al., The Adaptive Web. Springer (PDF)Book websitePDF via CiteseerBook websitePDF

4. The KUL topics (2) www.cs.kuleuven.be/~berendt/teaching/2008s/ctdb/times_and_topics.html www.cs.kuleuven.be/~berendt/teaching/2008s/ctdb/times_and_topics.html Package 5: Evaluation: the case of recommender systems Herlocker, J. L., Konstan, J. A., Terveen, L. G., and Riedl, J. T. 2004. Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst. 22, 1, 5-53. (PDF) AND Jameson, A. and Smyth, B. (2007). Recommendation to Groups. in Brusilovsky et al., The Adaptive Web. Springer (PDF via Springer) Package 6: XML Retrieval (basic) Fuhr, N. & Lalmas, M. (2007). Advances in XML retrieval: The INEX initiative. In Proceedings of the International Workshop on Research Issues in Digital Libraries.. (PDF) Additional bibliography: http://nlp.stanford.edu/IR-book/html/htmledition/references- and-further-reading-10.html Package 7: Spam filtering and reputation systems (intermediate) Zheleva, E., Kolcz, A. & Getoor, L. (2008). Trusting spam reporters: A reporter-based reputation system for email filtering. ACM Transactions on Information Systems, 27 (1) (article no. 3). (PDF) Package 8: Efficient faceted search and web query results presentation (advanced) Dash, D., Rao, J., Megiddo, N., Ailamaki, A. & Lohman, G. (2008). Dynamic faceted search for discovery-driven analysis. In Proceedings of the 17th ACM Conference on Information and Knowledge Management (pp. 3-12). New York: ACM. (PDF)PDFPDF via SpringerPDFhttp://nlp.stanford.edu/IR-book/html/htmledition/references- and-further-reading-10.htmlPDF

5. KUL packages and (some of) their relationships Text based Information Retrieval Web mining Web usage mining Web structure mining Web content mining is-a prerequisite for related to See previous course/s

6. KUL packages and (some of) their relationships Text based Information Retrieval 1 Link Analysis 6 XML Retrieval 7 Spam filtering and reputation systems 8 Efficient faceted search and query results presentation Web mining Web usage mining Web structure mining Web content mining 2 Distributed Retrieval 3 Opinion Mining 4 Personalization and Recommender Systems 5 Evaluation (example Rec. Systems) is-a prerequisite for related to See previous course/s

7. KUL packages and (some of) their relationships Text based Information Retrieval 1 Link Analysis 6 XML Retrieval 7 Spam filtering and reputation systems 8 Efficient faceted search and query results presentation ~ Web mining Web usage mining Web structure mining Web content mining 2 Distributed Retrieval 3 Opinion Mining 4 Personalization and Recommender Systems 5 Evaluation (example Rec. Systems) is-a prerequisite for related to See previous course/s

8. “Howto“s We recommend the excellent book Zobel, J. (2004). Writing for Computer Science. Springer. 2nd edition. www.justinzobel.com www.justinzobel.com In addition, we have compiled hints on –how you can / should work –how you should review other‘s work (  refereeing, here: “opponent“ role) –how we will evaluate your work

9. Interlude: Never separate two that belong together... How did Sartre become a great writer and intellectual? Let‘s ask his autobiography: 1: Lire 2: Écrire

10. “Howto“s on how you can / should work –reading (selecting sources) http://vasarely.wiwi.hu-berlin.de/lehre/General/scientific_writing.html –reading (already selected sources) – from Zobel http://vasarely.wiwi.hu- berlin.de/lehre/2004s/kaw/Working_with_scientific_literature.html –writing: http://vasarely.wiwi.hu-berlin.de/lehre/General/guidelines.html how you should review other‘s work (  refereeing, here: “opponent“ role) –refereeing other work– from Zobel Chapter 10 on Refereeing (photocopies) –giving feedback on oral presentations http://vasarely.wiwi.hu-berlin.de/lehre/feedback_agents.html how we will evaluate your work –see “writing“ above (PS: Please ignore the concrete tasks on these pages, these do not apply here)

11. Next step: