Most Viewed Web Mining Lectures

By Grant Marshall, Sept 2014

Today, we look at the top 25 most viewed web mining lectures on videolectures.net

The way popularity is determined is by looking at the “popular” sort on the text mining video listing. These are the videos, including authors, length, and venue, sorted by views:

1. Link analysis with pajek, Nataša Kejžar, 4344 views, 0:57:10 (February 25, 2007, at Advanced Course on AI (ACAI), Ljubljana 2005 )
2. Text Mining and Link Analysis for Web and Semantic Web, Marko Grobelnik, Dunja Mladenić, Blaž Fortuna, 4159 views, 1:03:18 (August 12, 2007, at 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), San Jose 2007)
3. Truth Discovery with Multiple Conflicting Information Providers on the Web, Xiaoxin Yin, 4060 views, 0:09:04 (August 14, 2007, at 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), San Jose 2007)
4. Boilerplate Detection Using Shallow Text Features, Christian Kohlschütter, 3635 views, 0:22:02 (October 7, 2010, at Third ACM International Conference on Web Search and Data Mining - WSDM 2010 )
5. Identifying the Influential Bloggers, Nitin Agarwal, 1574 views, 0:26:21 (February 25, 2008, at First ACM International Conference on Web Search and Data Mining - WSDM 2008 )
6. Machine Reading at Web Scale, Oren Etzioni, 1341 views, 0:55:10 (February 25, 2008, at First ACM International Conference on Web Search and Data Mining - WSDM 2008 )
7. Mining Heterogeneous Information Networks, Jiawei Han, 1282 views, 2:33:10 (October 1, 2010, at 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Washington 2010)
8. Web mining, Dunja Mladenić, 1214 views, 0:48:14 (February 25, 2007, at Advanced Course on AI (ACAI), Ljubljana 2005 )
9. Link Analysis and Text Mining : Current State of the Art and Applications for Counter Terrorism, Ronen Feldman, 1167 views, 2:09:14 (December 3, 2007, at NATO Advanced Study Institute on Mining Massive Data Sets for Security )
10. Web Data Mining, Ricardo Baeza-Yates, 1047 views, 4:33:42 (March 18, 2011, at 4th Russian Summer School in Information Retrieval (RuSSIR), Voronezh 2010 )
11. Machine Learning for the Web: A Unified View, Pedro Domingos, 1012 views, 0:59:32 (December 20, 2008, at NIPS ˙08 Workshop: Beyond Search - Computational Intelligence for the Web )
12. DBpedia - A Linked Data Hub and Data Source for Web Applications and Enterprises, Georgi Kobilarov, Sören Auer, Jens Lehmann, 980 views, 0:47:17 (May 20, 2009, at World Wide Web (WWW) Conference, Madrid 2009 )
13. Latent Variable Models for Document Analysis, Wray Buntine, 977 views, 4:58:54 (March 11, 2008, at Machine Learning Summer School (MLSS), Kioloa 2008 )
14. Security Applications of Web mining, Pinar Oezden Wennerberg, 917 views, 0:39:07 (December 4, 2007, at NATO Advanced Study Institute on Mining Massive Data Sets for Security )
15. Computational advertising: business models, technologies and issues (CoAd), James G. Shanahan, 905 views, 5:55:02 (April 15, 2010, at 3rd Russian Summer School in Information Retrieval (RuSSIR), Petrozavodsk 2009 )
16. Large-Scale Behavioral Targeting, Ye Chen, 868 views, 0:23:57 (September 14, 2009, at 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Paris 2009)
17. Web Spam Detection, Marcin Sydow, Carlos Castillo, 820 views, 1:47:07 (November 28, 2007, at NATO Advanced Study Institute on Mining Massive Data Sets for Security )
18. Web Mining, Ricardo Baeza-Yates, Aris Gionis, 773 views, 2:52:31 (August 23, 2011, at 22nd International Joint Conference on Artificial Intelligence (IJCAI), Barcelona 2011 )
19. Social recommender systems: a graphical model based approach, Jurgen Van Gael, 737 views, 1:08:08 (August 4, 2011, at International Workshop on Social Web Mining, Barcelona 2011 )
20. How Optimized Environmental Sensing Helps Address Information Overload on the Web, Carlos Guestrin, Tom Mitchell, 675 views, 0:44:01 (July 22, 2009, at 21st International Joint Conference on Artificial Intelligence (IJCAI), Pasadena )
21. Mining Diverse Views from Related Articles, Ravali Pochampally, 608 views, 0:16:41 (April 22, 2011, at First International Workshop on Knowledge Diversity on the Web, Hyderabad 2011 )
22. Android App discovery: Supporting users through the app discovery funnel, Bhaskar Mehta, 437 views, 1:00:11 (September 8, 2011, at International Workshop on Social Web Mining, Barcelona 2011 )
23. Understanding Temporal Query Dynamics, Krysta M. Svore, 419 views, 0:22:12 (August 9, 2011, at Fourth ACM International Conference on Web Search and Data Mining - WSDM 2011 )
24. Recommender Systems with Social Regularization, Michael R. Lyu, 349 views, 0:25:27 (August 9, 2011, at Fourth ACM International Conference on Web Search and Data Mining - WSDM 2011 )
25. Classification of social network sites based on network indexes and communication patterns, Fujio Toriumi, 348 views, 0:20:49 (August 4, 2011, at International Workshop on Social Web Mining, Barcelona 2011 )

To understand the contents of these lectures better, we will look at the contents of their titles.

Three of the most telling words in this visualization are “text”, “social”, and “network”. “Text” is important because it shows the connection between web and text mining, which we saw when looking at the text mining lectures previously. The “social” and “network” terms highlight the importance of network data in web mining.

Now we will look at how the length of the videos correlates with popularity.

This is interesting, because whether sorting by videolectures’s popularity metric or by pure view counts, we see very little correlation between video length and popularity. This is different compared to the other categories of lectures, where there is almost universally a correlation between longer video lengths and more popularity. Perhaps shorter, more concentrated videos have as much appeal as broader, longer videos when it comes to web mining lectures on videolectures.net.

Related:

• Top KDnuggets tweets, Sep 10-14: Most Viewed Machine Learning and Text Mining Talks
• Most Viewed Text Mining Lectures
• Social Media & Web Analytics Innovation Summit 2014: Day 1 Highlights