指定閱讀

Croft, B., Metzler, D., & Strohman, T. (2015). Search Engines: Information Retrieval in Practice. Addison-Wesley. https://ciir.cs.umass.edu/irbook/.

BOOKS

General IR (CS)

1. Stefan Büttcher, Charles L. A. Clarke, & Gordon V. Cormack (2016). Information Retrieval: Implementing and Evaluating Search Engines, MIT Press.
2. Baeza-Yates, R., & Ribeiro-Neto, B. (2011). Modern Information Retrieval: The Concepts and Technology behind Search, 2nd ed. Addison-Wesley.Chowdhurry, G.G. (2010). Introduction to Modern Information Retrieval, 3rd ed. Neal-Schuman.
3. Grossman, D.A., & Frieder, O. (2004). Information Retrieval: Algorithms and Heuristics. 2nd ed. Springer.
4. Hearst, M.A. (2009). Search User Interfaces. Cambridge University Press.
5. Manning, C.D., Raghavan, P., & Schütze, H. (2008). Introduction to Information Retrieval. Cambridge University Press. (http://nlp.stanford.edu/IR-book/)
6. Salton, G. (1983). Introduction to Modern Information Retrieval. McGraw-Hill.
7. Sparck Jones, K., & Willett, P. (1997). Readings in Information Retrieval. Morgan Kaufmann.
8. van Rijsbergen, C.J. (1979). Information Retrieval. Butterworths.

General (LIS)

1. Goker, A., & Davies, J. (ed) (2009). Information Retrieval: Searching in the 21st Century. Wiley.
2. Harter, S.P. (1986). Online Information Retrieval: Concepts, Principles and Techniques. Academic Press.
3. Hunter, E.J. (2009). Classification Made Simple: An Introduction to Knowledge Organisation and Information Retrieval, 3rd ed. Ashgate.
4. Lancaster, F.W., & Warner, A.J. (1993). Information Retrieval Today. Info Resources Press.
5. Saracevic, T., & Marchionini, G., (ed) (2012). Relevance in Information Retrieval. Morgan & Claypool.

Search Engines

1. Langville, A.N., & Meyer, C.D. (2012). Google`s PageRank and Beyond: the Science of Search Engine Rankings. Princeton University Press.
2. Battelle, J. (2005). The Search: How Google and its Rivals Rewrote the Rules of Business and Transformed Our Culture. Nicholas Brealey.

Search Engine Optimization (SEO)

1. Kennedy, A.F., & Hauksson, K.M. (2012). Global Search Engine Marketing: Getting Better International Search Engine Results. Que.
2. Enge, E., et al. (2009). The Art of SEO: Mastering Search Engine Optimization. O`Reilly.
3. Lieb, R. (2009). The Truth about Search Engine Optimization. FT Press.

Cross-Language IR

1. Peters, C., Braschler, M., & Clough, P. (2012). Multilingual Information Retrieval: from Research to Practice. Springer.

Multimedia IR

1. Müller, M. (2007). Information Retrieval for Music and Motion. Springer.
2. Ras, Z.W., & Wieczorkowska, A. (ed) (2010). Advances in Music Information Retrieval. Springer.

Web Mining

1. Kaushik, A. (2009). Web Analytics 2.0: The Art of Online Accountability and Science of Customer Centricity. Sybex.
2. Chakrabarti, S. (2002). Mining the Web: Analysis of Hypertext and Semi Structured Data. Morgan Kaufmann.
3. Liu, B. (2011). Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data, 2nd ed. Springer.
4. Web NER ToolKit (2019, DS4NER), https://sites.google.com/site/nculab/projects/web-ner-tool

Search as Learning

1. Vakkari, P. (2016). Searching as Learning. A Systematization based on Literature. Journal of Information Science 42(1): 7-18.
2. Carsten Eickhoff, Jacek Gwizdka, Claudia Hauff, Jiyin He (2017). Introduction to the special issue on search as learning. https://link.springer.com/article/10.1007/s10791-017-9315-9
3. Search as Learning at CIKM 2018 - Claudia Hauff, https://chauff.github.io/2018-08-07-sal-at-cikm/

Semantic Web

1. Davies, J., Studer, R., & Warren, P. (ed) (2006). Semantic Web Technologies: Trends and Research in Ontology-based Systems. Wiley.
2. Allemang, D., & Hendler, J. (2011). Semantic Web for the Working Ontologist, 2nd ed. Morgan Kaufmann.

User Behavior

1. Ingwersen, P., & Järvelin, K. (2005). The Turn: Integration of Information Seeking and Retrieval in Context. Springer.
2. Ruthven, I., &, Kelly, D. (ed) (2011). Interactive Information Seeking, Behaviour and Retrieval. Facet.
3. Spink, A., & Jansen, B.J. (2004). Web Search: Public Searching of the Web. Springer.
4. Warner, J. (2009). Human Information Retrieval. The MIT Press.

Socio-Technical Aspects

1. Brin, D. (1998). The Transparent Society: Will Technology Force Us to Choose Between Privacy and Freedom? Basic Books.
2. Huberman, B.A. (2001). The Laws of the Web: Patterns in the Ecology of Information. MIT Press.
3. Lesser, E.L., Fontaine, M.A., & Slusher, J.A., eds. (2000). Knowledge and Communities. Butterworth-Heinemann.
4. Lessig, L. (1999). Code and Other Laws of Cyberspace. Basic Books.
5. 吳世弘 (2017) “The CYUT System on Social Book Search Track since INEX 2013 to CLEF 2016”, 圖書館學與資訊科學, 43(2), pp. 6-19. http://140.122.104.2/ojs../index.php/jlis/article/view/733 

Neural Approaches to Information Retrieval

1. (Word Embedding) Mikolov, T., Sutskever, I., Chen, K., Corrado, G. S., & Dean, J. (2013). Distributed representations of words and phrases and their compositionality. Paper presented at the Advances in neural information processing systems.
2. Word embeddings in 2017: Trends and future directions: http://ruder.io/word-embeddings-2017/ (OOV handling, Subword-level embeddings, Multi-sense embeddings, Phrases and multi-word expressions).
3. (fastText from Facebook) Joulin, A., Grave, E., Bojanowski, P., & Mikolov, T. (2016). Bag of Tricks for Efficient Text Classification. CoRR, abs/1607.01759.
4. (Deep Learning Model from Google) Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2018). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. arXiv. https://arxiv.org/pdf/1810.04805.pdf
5. (GT2: Deep Learning Model from OpenAI) Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., & Sutskever, I. (2019). Language Models are Unsupervised Multitask Learners. Retrieved from https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf
6. (XLNet) Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Ruslan Salakhutdinov, Quoc V. Le (2019). XLNet: Generalized Autoregressive Pretraining for Language Understanding. https://arxiv.org/abs/1906.08237.

CONFERENCES

1. ACM SIGIR Annual Conference. http://www.acm.org/sigir/
2. ASIS&T Annual Conference. http://www.asis.org/
3. JCDL (Joint Conference on Digital Libraries). http://www.jcdl.org/
4. TREC (Text REtrieval Conference). http://trec.nist.gov/
5. NTCIR, http://research.nii.ac.jp/ntcir/index-en.html
6. WWW Annual Conference. http://www.iw3c2.org/

JOURNALS

D-Lib Magazine

Information Processing and Management (IP&M)

Information Research

Journal of the American Society for Information Science and Technology (JASIST)

Journal of Documentation (JDoc)

WEB RESOURCES

1. ACM SIGIR Information Retrieval Resources http://www.sigir.org/resources.html
2. 鄭卜壬、李家豪（2007）。數位典藏技術導論。第四章 資訊檢索技術http://ebook.iis.sinica.edu.tw/pdf/ch4_InformationRetrieval.pdf
3. 中央研究院（2007）。數位典藏技術導論。http://ebook.iis.sinica.edu.tw/
4. Glasgow IR resources (http://ir.dcs.gla.ac.uk/resources.html)
5. UCLA Graduate School of Education & Information School (http://polaris.gseis.ucla.edu/jfurner/00-01/273/273res.html)
6. Information Research Weblog (http://www.free-conversant.com/irweblog/)
7. Search Engine Meeting Conference (http://www.infonortics.com/searchengines/)
8. Web IR and IE (http://www.webir.org/)