TTDS: Schedule WeekLectureLabCourseworkReadings11 - IntroductionLab 0-IR in Practice Chapters 1 & 22 - Definitions23 - LawsLab 1-Intro to IR Chapter 2 --> 2.2.4IR in Practice Chapter 4Zipf’s law, VsouceBenford’s law, Numberphile4 - Preprocessing35 - IndexingLab 2-Intro to IR Chapters 1, 2.4 and 3.1-3.4IR in Practice chapter 56 - Indexing 247 - Ranked RetrievalLab 3CW1Intro to IR Chapters 6.2 to 6.4 and 12IR in Practice Chapter 7Robertson, Stephen E., et al. "Okapi at TREC-3."J. Ponte and W. B. Croft. "A language modeling approach to information retrieval."8 - Ranked Retrieval 259 - Evaluation- Intro to IR Chapters 8IR in Practice Chapter 8C Buckley and E. M. Voorhees. "Retrieval Evaluation with Incomplete Information."10 - Evaluation 2611 - QELab 5 Intro to IR Chapters 9IR in Practice Chapter 6.2, 6.3Magdy W. and G. J. F. Jones. A Study on Query Expansion Methods for Patent RetrievalAn Introduction to Neural Information Retrieval (Bhaskar Mitra and Nick Craswell, FnTIR)Approximate Nearest Neighbor Search on High-Dimensional Data: Experiments, Analyses, and Platform (Li et al., IEEE TKDE)Pre-training Methods in Information Retrieval (Fan et al., FnTIR)12 - Term Representation713 - Web Search Lab PR Intro to IR Chapter 19, 21.2IR in Practice Chapter 3, 4.5, 10.3How Search Works? (YouTube)Page, L., Brin, S., Motwani, R., & Winograd, T. (1999). The PageRank citation ranking: Bringing order to the web.Dumais, S., Banko, M., Brill, E., Lin, J., & Ng, A. (2002) Web question answering: Is more always better?. SIGIR 2002.14 - Web Search 2 License All rights reserved The University of Edinburgh Wed, 04/11/2026 - 12:00 Book traversal links for TTDS: Text Technologies for Data Science TTDS: Course Materials Up TTDS: Labs