[1]Great-Circledistance (https://en.wikipedia.org/wiki/Great-circle_distance)
[2]Hacker News (https://news.ycombinator.com/item?id=1781417)
[3]Dr. E.F.Codd,“A Relational Model for Large Shared Data Banks,” Communications of the ACM, June 1970.
[4]HBase (http://hbase.apache.org/)
[5]Cassandra (http://cassandra.apache.org/)
[6]MongoDB (http://www.mongodb.org/)
[7]Riak (http://basho.com/riak/)
[8]Sergey Bushik, Senior R&D Engineer at Altoros, A Vendor-independent Comparison of NoSQL Databases: Cassandra, HBase, MongoDB, Riak .October 2012.
[9]陳和琴．Metadata 與數位典藏之研討．大學圖書館 5 卷2 期[10]Dublin Core Metadata Initiative (http://dublincore.org/)
[11]The GEDCOM Standard Release 5.5
(http://homepages.rootsweb.ancestry.com/~pmcbride/gedcom/55gctoc.htm)
[12]A collection of schema (http://schema.org)
[13]Structured Data on the Web (http://structured-data.org/)
[14]JSON for Linking Data (http://json-ld.org/)
[15]International Organization for Standardization,“Ergonomics of human system interaction - Part 210: Human-centered design for interactive systems,” ISO FDIS 9241-210,2009.
[16]Twitter is now tracking the apps you download.
(http://www.cnet.com/news/twitter-is-now-tracking-the-apps-you-download/#ftag=CAD590a51e.)
[17]Kai-Shun Lin, Kuei-Hong Lin, Kuo-Huang Chung, “Automatic Recommendation System of IPTV Contents for Baseball Video,” ISPACS 2013,pp.714-717
[18]William J. Frawley, Gregory Piatetsky-Shapiro, and Christopher J. Matheus, “Knowledge Discovery in Databases : An Overview,” Knowledge Discovery in Databases, California, Edited by Gregory Paitetsky-Shapirom and William J. Frawley, AAAI/MIT Express, 1991, pp.1-30.
[19]Grupe, F.H and M. M. Owrang, “Data mining discovering new knowledge and cooperative advantage,” Information Systems Management, 12(4), 1995, pp.26-31.
[20]Fayyad, “Data Mining and knowledge Discovery: Making. Sense of Data”, IEEE Expert, Vol.11, No.5, 1996, pp.20-25
[21]Sotiris B. Kotsiantis, “Supervised Machine Learning: A Review of Classification Techniques,” Informatica (Slovenia) 31(3) : 249-268. 2007.
[22]Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu. “A density-based algorithm for discovering clusters in large spatial databases with noise,” In Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), pp. 226–231.
[23]Rakesh Agrawal, RamakrishnanSrikant, “Fast algorithms for mining association rules in large databases”, in Proceedings of the 20th International Conference on Very Large Data Bases (VLDB),Santiago, Chile, September 1994, pp. 487-499.
[24]M. J. Zaki, “Scalable algorithms for association mining,” IEEE Transactions on Knowledge and Data Engineering 12 (3): 372–390, 2000
[25]Aleksandra Gruca,“Improvement of FP-Growth Algorithm for Mining Description-Oriented Rules,” ICMMI, 2013, pp.183-192.
[26]John S. Breese, David Heckerman, and Carl Kadie. “Empirical analysis of predictive algorithms for collaborative filtering,” In Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence (UAI''98).
[27]JUN WANG,“Unified Relevance Models for Rating Prediction in Collaborative Filtering,” ACM Transactions on Information Systems, vol. 26 Issue 3, June 2008.
[28]Cosine similarity (https://en.wikipedia.org/wiki/Cosine_similarity)
[29]Jaccard index (https://en.wikipedia.org/wiki/Jaccard_index)
[30]Michael J. Pazzani and Daniel Billsus, “ Content-Based Recommendation Systems,” Lecture Notes in Computer Science vol. 4321, 2007, pp. 325-341.
[31]Michael J. Pazzani, “A Framework for Collaborative, Content-Based and Demographic Filtering”, Artificial Intelligence Review vol. 13, December 1999, Issue 5-6, pp. 393-408.
[32]U. Shardanand, and P. Maes, “Social Information Filtering:Algorithms for Automating ‘Word of Mouth’,” in Proceedings ofthe Conference on Human Factors in Computing Systems ,1995, pp. 210-217.
[33]Marius Kaminskas, Francesco Ricci and Markus Schedl, “Location-Aware Music Recommendation Using Auto-Tagging and Hybrid Matching”, Proceedings of the 7th ACM conference on Recommender systems, 2013, pp. Pages 17-24.
[34]Kai-Shun Lin, Kuei-Hong Lin, Kuo-Huang Chung, “Automatic Recommendation System of IPTV Contents for Baseball Video,” Intelligent Signal Processing and Communications Systems, 12-15 Nov. 2013, pp. 714 – 717.
[35]Lim Tek Yong, “User Experience Evaluation Methods for Mobile Devices,” Innovative Computing Technology, 29-31 Aug. 2013, pp. 281 – 286.
[36]MovieLens (https://movielens.org/)