以下為計算廣告學的資料整理
更新日期: 2015.12
计算广告学:
1. 文字版教程: http://dirlt.com/computational-advertising.html
2. 百度傳課: http://www.chuanke.com/1905702-106933.html
3. Stanford: http://nguyentantrieu.info/blog/introduction-to-computational-advertising/
4. 计算广告学漫谈- 施昌权
http://blog.chinaunix.net/uid-22312037-id-3997094.html
5. 方兴未艾的计算广告学 - 刘铁岩
http://blog.sina.com.cn/s/blog_4caedc7a0102eshz.html
6. MS&E 239: Introduction to Computational Advertising: http://web.stanford.edu/class/msande239/
7. UCS -计算广告学入门: http://classes.soe.ucsc.edu/ism293/Spring09/index_archivos/Page456.html
8. 秒针系统 – Computational Advertising Infrastructure: http://www.baidu.com/p/fengshicong?from=wenku
9. 计算广告学- 何军, 冯是聪: http://iir.ruc.edu.cn/courses/ca2013.jsp
10. 百度开发研究社区- 计算广告学2013
http://openresearch.baidu.com/courses/1231.jhtml;jsessionid=74D5F5B058EBBA3EBF349311A6286DF6
計算廣告學簡介:
http://baike.baidu.com/view/4330198.htm
研究者:
1. 刘铁岩: http://baike.baidu.com/subview/1879836/15813554.htm
http://research.microsoft.com/en-us/people/tyliu/
2. beechung.chen
http://pages.cs.wisc.edu/~beechung/
https://www.facebook.com/beechung.chen
https://www.linkedin.com/pub/bee-chung-chen/5/a8b/877
3. 施昌权
http://blog.chinaunix.net/uid/22312037.html
http://blog.csdn.net/scq2099yt
http://www.weibo.com/shicq
4. Andrei Broder
5. 刘鹏, 北冥乘海生
http://www.weibo.com/bmchs
6. 冯建华: http://www.cs.tsinghua.edu.cn/publish/cs/4616/2010/20101224151607905825086/20101224151607905825086_.html
7. 王勇睿 – 互联网广告算法与系统实践
http://yuedu.baidu.com/partner/browse/profile?id=74655701a6c30c2259019e7e
8. 王守崑- 豆瓣副總
Papers:
1. 方兴未艾的计算广告学: http://www.vision-computing.org/userfiles/file/2013-4//20134221848115974.pdf
2. Online Allocation Algorithms with Applications in Computational Advertising: http://erikdemaine.org/theses/mzadimoghaddam.pdf
3. Real Time Bid Optimization with Smooth Budget Delivery in Online Advertising: https://www.turn.com/sites/default/files/whitepapers/TURN_Tech_WP_Real_Time_Bid_Optimization_with_Smooth_Budget_Delivery_in_Online_Advertising.pdf
4. Simple and scalable response prediction for display advertising: http://people.csail.mit.edu/romer/papers/TISTRespPredAds.pdf
5. Ad Click Prediction: a View from the Trenches: http://static.googleusercontent.com/external_content/untrusted_dlcp/research.google.com/en/us/pubs/archive/41159.pdf
6. Leon Bottou Microsoft - Counterfactual Reasoning Computational Advertisement -Technion lecture: https://www.youtube.com/watch?v=qmQceWeYg04
7. Statistical Challenges in Computational Advertising: http://videolectures.net/kdd09_chakrabarti_agarwal_scca/
Sharing:
1. 品友互動2013: http://www.slideshare.net/shuaiyuancn/cikm-2013-tutorial
2. Russian RTB market in H1 2013: http://www.slideshare.net/AdFox/adfox-russian-rtbmarketh12013overview180913en
3. Machine learning from Y!: http://www.slideshare.net/beechung/recommender-systems-tutorial-part-3-online-components?next_slideshow=1
4. 20131026-第一期百度计算广告学沙龙:
http://www.youku.com/playlist_show/id_20672162.html
5. http://guanggaoxue.csdn.net/
個人博客:
1. http://www.flickering.cn/
2. http://www.myttnn.com/ad/internet-advertisement/
3. http://blog.csdn.net/suqier1314520
4. http://www.iamniu.com/
數據分析課程:
1. http://blog.coursegraph.com/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E5%85%AC%E5%BC%80%E8%AF%BE%E6%B1%87%E6%80%BB
Resource:
1. Microsoft research: http://research.microsoft.com/en-us/default.aspx
2. DBLP: http://www.informatik.uni-trier.de/~ley/db/
3. Yahoo research: http://labs.yahoo.com/
4. Quora: http://www.quora.com/
5. iab: http://www.iab.net/
6. BBB: http://www.bbb.org/
7. AAAA: http://www.aaaa.org/Pages/default.aspx
8. ANA: http://www.ana.net/
9. Media rating council: http://mediaratingcouncil.org/
10. 3MS: http://measurementnow.net/
11. Your online choice: http://youronlinechoices.com/
12. NAI: http://www.networkadvertising.org/
13. DMA: http://thedma.org/
14. 微軟亞洲研究院: http://blog.sina.com.cn/msra
15. 中国计算机学会信息网: http://www.ccf.org.cn/sites/ccf/index.html
How adwords work- infography: http://www.wordstream.com/articles/what-is-google-adwords
Technical:
1. Hadoop: http://hadoop.apache.org/
2. Apache: http://mahout.apache.org/
Keywords:
RTB toolkit
產品:
1. Google open source: https://developers.google.com/ad-exchange/rtb/open-bidder/
2. Adform: http://site.adform.com/
3. RTBkit: http://rtbkit.org/site/
4. https://www.sociomantic.com/
更新日期: 2015.12
计算广告学:
1. 文字版教程: http://dirlt.com/computational-advertising.html
2. 百度傳課: http://www.chuanke.com/1905702-106933.html
3. Stanford: http://nguyentantrieu.info/blog/introduction-to-computational-advertising/
4. 计算广告学漫谈- 施昌权
http://blog.chinaunix.net/uid-22312037-id-3997094.html
5. 方兴未艾的计算广告学 - 刘铁岩
http://blog.sina.com.cn/s/blog_4caedc7a0102eshz.html
6. MS&E 239: Introduction to Computational Advertising: http://web.stanford.edu/class/msande239/
7. UCS -计算广告学入门: http://classes.soe.ucsc.edu/ism293/Spring09/index_archivos/Page456.html
8. 秒针系统 – Computational Advertising Infrastructure: http://www.baidu.com/p/fengshicong?from=wenku
9. 计算广告学- 何军, 冯是聪: http://iir.ruc.edu.cn/courses/ca2013.jsp
10. 百度开发研究社区- 计算广告学2013
http://openresearch.baidu.com/courses/1231.jhtml;jsessionid=74D5F5B058EBBA3EBF349311A6286DF6
計算廣告學簡介:
http://baike.baidu.com/view/4330198.htm
研究者:
1. 刘铁岩: http://baike.baidu.com/subview/1879836/15813554.htm
http://research.microsoft.com/en-us/people/tyliu/
2. beechung.chen
http://pages.cs.wisc.edu/~beechung/
https://www.facebook.com/beechung.chen
https://www.linkedin.com/pub/bee-chung-chen/5/a8b/877
3. 施昌权
http://blog.chinaunix.net/uid/22312037.html
http://blog.csdn.net/scq2099yt
http://www.weibo.com/shicq
4. Andrei Broder
5. 刘鹏, 北冥乘海生
http://www.weibo.com/bmchs
6. 冯建华: http://www.cs.tsinghua.edu.cn/publish/cs/4616/2010/20101224151607905825086/20101224151607905825086_.html
7. 王勇睿 – 互联网广告算法与系统实践
http://yuedu.baidu.com/partner/browse/profile?id=74655701a6c30c2259019e7e
8. 王守崑- 豆瓣副總
Papers:
1. 方兴未艾的计算广告学: http://www.vision-computing.org/userfiles/file/2013-4//20134221848115974.pdf
2. Online Allocation Algorithms with Applications in Computational Advertising: http://erikdemaine.org/theses/mzadimoghaddam.pdf
3. Real Time Bid Optimization with Smooth Budget Delivery in Online Advertising: https://www.turn.com/sites/default/files/whitepapers/TURN_Tech_WP_Real_Time_Bid_Optimization_with_Smooth_Budget_Delivery_in_Online_Advertising.pdf
4. Simple and scalable response prediction for display advertising: http://people.csail.mit.edu/romer/papers/TISTRespPredAds.pdf
5. Ad Click Prediction: a View from the Trenches: http://static.googleusercontent.com/external_content/untrusted_dlcp/research.google.com/en/us/pubs/archive/41159.pdf
6. Leon Bottou Microsoft - Counterfactual Reasoning Computational Advertisement -Technion lecture: https://www.youtube.com/watch?v=qmQceWeYg04
7. Statistical Challenges in Computational Advertising: http://videolectures.net/kdd09_chakrabarti_agarwal_scca/
Sharing:
1. 品友互動2013: http://www.slideshare.net/shuaiyuancn/cikm-2013-tutorial
2. Russian RTB market in H1 2013: http://www.slideshare.net/AdFox/adfox-russian-rtbmarketh12013overview180913en
3. Machine learning from Y!: http://www.slideshare.net/beechung/recommender-systems-tutorial-part-3-online-components?next_slideshow=1
4. 20131026-第一期百度计算广告学沙龙:
http://www.youku.com/playlist_show/id_20672162.html
5. http://guanggaoxue.csdn.net/
個人博客:
1. http://www.flickering.cn/
2. http://www.myttnn.com/ad/internet-advertisement/
3. http://blog.csdn.net/suqier1314520
4. http://www.iamniu.com/
數據分析課程:
1. http://blog.coursegraph.com/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E5%85%AC%E5%BC%80%E8%AF%BE%E6%B1%87%E6%80%BB
Resource:
1. Microsoft research: http://research.microsoft.com/en-us/default.aspx
2. DBLP: http://www.informatik.uni-trier.de/~ley/db/
3. Yahoo research: http://labs.yahoo.com/
4. Quora: http://www.quora.com/
5. iab: http://www.iab.net/
6. BBB: http://www.bbb.org/
7. AAAA: http://www.aaaa.org/Pages/default.aspx
8. ANA: http://www.ana.net/
9. Media rating council: http://mediaratingcouncil.org/
10. 3MS: http://measurementnow.net/
11. Your online choice: http://youronlinechoices.com/
12. NAI: http://www.networkadvertising.org/
13. DMA: http://thedma.org/
14. 微軟亞洲研究院: http://blog.sina.com.cn/msra
15. 中国计算机学会信息网: http://www.ccf.org.cn/sites/ccf/index.html
How adwords work- infography: http://www.wordstream.com/articles/what-is-google-adwords
Technical:
1. Hadoop: http://hadoop.apache.org/
2. Apache: http://mahout.apache.org/
Keywords:
RTB toolkit
產品:
1. Google open source: https://developers.google.com/ad-exchange/rtb/open-bidder/
2. Adform: http://site.adform.com/
3. RTBkit: http://rtbkit.org/site/
4. https://www.sociomantic.com/
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