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Intro 入门经典文献

A collection of classical literatures for newbies (students of Prof. Gao) Updating...
注：文献排序不分先后，建议同一主题先阅读综述，然后按序（年份）阅读。有的不支持外链的出版社可能无法通过贴的PDF地址下载，请自行检索下载地址

主题 Topics

推荐系统 Recommender System

综述 Survey

[1]. Bobadilla, Jesus, et al. "Recommender systems survey." Knowledge Based Systems (2013): 109-132.
[2]. Lu, Jie, et al. "Recommender system application developments." decision support systems (2015): 12-32.

矩阵分解 Matrix Factorization

[1]. Mnih, Andriy, and Ruslan Salakhutdinov. "Probabilistic Matrix Factorization." neural information processing systems (2008): 1257-1264. [PDF]
[2]. Koren, Yehuda, R. Bell, and C. Volinsky. "Matrix Factorization Techniques for Recommender Systems." Computer 42.8(2009):30-37. [PDF]
[3]. Koren, Yehuda. "Collaborative filtering with temporal dynamics." Communications of The ACM 53.4 (2010): 89-97. [PDF]

贝叶斯排序 Bayes Ranking

[1]. Rendle, Steffen, et al. "BPR: Bayesian personalized ranking from implicit feedback." uncertainty in artificial intelligence (2009): 452-461. [PDF]
[2]. Zhao, Tong, Julian Mcauley, and Irwin King. "Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering." conference on information and knowledge management (2014): 261-270. [PDF]

因子分解机 Factorization Machine

[1]. Rendle, Steffen. "Factorization Machines." international conference on data mining (2010). [PDF]
[2]. Rendle, Steffen, et al. "Fast context-aware recommendations with factorization machines." international acm sigir conference on research and development in information retrieval (2011): 635-644. [PDF]

异常检测 Anomaly Detection

托攻击 Shilling Detection

[1]. 伍之昂, 王有权, and 曹杰. "推荐系统托攻击模型与检测技术." (2014). [PDF] (综述)
[2]. Lam, Shyong K., and John Riedl. "Shilling recommender systems for fun and profit." international world wide web conferences (2004): 393-402. [PDF] (选读)
[3]. Mehta, Bhaskar, and Wolfgang Nejdl. "Unsupervised strategies for shilling detection and robust collaborative filtering." User Modeling and User-adapted Interaction (2009): 65-97. [PDF]
[4]. Wu, Zhiang, et al. "HySAD: a semi-supervised hybrid shilling attack detector for trustworthy product recommendation." knowledge discovery and data mining (2012): 985-993. [PDF]

垃圾评论检测 Opinion Spam Detection

图/网络挖掘 Graph/Network Mining

网络嵌入 Network Embedding

[1]. Perozzi, Bryan, Rami Alrfou, and Steven Skiena. "DeepWalk: online learning of social representations." knowledge discovery and data mining (2014): 701-710. [PDF]
[2]. Tang, Jian, et al. "LINE: Large-scale Information Network Embedding." international world wide web conferences (2015): 1067-1077. [PDF]
[3]. Grover, Aditya, and Jure Leskovec. "node2vec: Scalable Feature Learning for Networks." knowledge discovery and data mining (2016): 855-864. [PDF]

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Intro 入门经典文献
A collection of classical literatures for newbies (students of Prof. Gao) Updating...
注：文献排序不分先后，建议同一主题先阅读综述，然后按序（年份）阅读。有的不支持外链的出版社可能无法通过贴的PDF地址下载，请自行检索下载地址
主题 Topics
推荐系统 Recommender System
综述 Survey

[1]. Bobadilla, Jesus, et al. "Recommender systems survey." Knowledge Based Systems (2013): 109-132.

[2]. Lu, Jie, et al. "Recommender system application developments." decision support systems (2015): 12-32. 
矩阵分解 Matrix Factorization

[1]. Mnih, Andriy, and Ruslan Salakhutdinov. "Probabilistic Matrix Factorization." neural information processing systems (2008): 1257-1264. [PDF]

[2]. Koren, Yehuda, R. Bell, and C. Volinsky. "Matrix Factorization Techniques for Recommender Systems." Computer 42.8(2009):30-37. [PDF]
 [3]. Koren, Yehuda. "Collaborative filtering with temporal dynamics." Communications of The ACM 53.4 (2010): 89-97. [PDF]
贝叶斯排序 Bayes Ranking

[1]. Rendle, Steffen, et al. "BPR: Bayesian personalized ranking from implicit feedback." uncertainty in artificial intelligence (2009): 452-461. [PDF]

[2]. Zhao, Tong, Julian Mcauley, and Irwin King. "Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering." conference on information and knowledge management (2014): 261-270. [PDF]
 因子分解机 Factorization Machine

[1]. Rendle, Steffen. "Factorization Machines." international conference on data mining (2010). [PDF]

[2]. Rendle, Steffen, et al. "Fast context-aware recommendations with factorization machines." international acm sigir conference on research and development in information retrieval (2011): 635-644. [PDF]
异常检测 Anomaly Detection
托攻击 Shilling Detection

[1]. 伍之昂, 王有权, and 曹杰. "推荐系统托攻击模型与检测技术." (2014). [PDF] (综述)
 [2]. Lam, Shyong K., and John Riedl. "Shilling recommender systems for fun and profit." international world wide web conferences (2004): 393-402. [PDF] (选读)
 [3]. Mehta, Bhaskar, and Wolfgang Nejdl. "Unsupervised strategies for shilling detection and robust collaborative filtering." User Modeling and User-adapted Interaction (2009): 65-97. [PDF]

[4]. Wu, Zhiang, et al. "HySAD: a semi-supervised hybrid shilling attack detector for trustworthy product recommendation." knowledge discovery and data mining (2012): 985-993. [PDF]
垃圾评论检测 Opinion Spam Detection
图/网络挖掘 Graph/Network Mining
网络嵌入 Network Embedding

[1]. Perozzi, Bryan, Rami Alrfou, and Steven Skiena. "DeepWalk: online learning of social representations." knowledge discovery and data mining (2014): 701-710. [PDF]

[2]. Tang, Jian, et al. "LINE: Large-scale Information Network Embedding." international world wide web conferences (2015): 1067-1077.
[PDF]

[3]. Grover, Aditya, and Jure Leskovec. "node2vec: Scalable Feature Learning for Networks." knowledge discovery and data mining (2016): 855-864. [PDF]
About
新生必读 A collection of classical literatures for newbies (students of Prof. Gao)
Resources
Readme
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Stars
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Watchers
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Forks
0 forks
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Intro 入门经典文献
A collection of classical literatures for newbies (students of Prof. Gao) Updating...
注：文献排序不分先后，建议同一主题先阅读综述，然后按序（年份）阅读。有的不支持外链的出版社可能无法通过贴的PDF地址下载，请自行检索下载地址
主题 Topics
推荐系统 Recommender System
综述 Survey

[1]. Bobadilla, Jesus, et al. "Recommender systems survey." Knowledge Based Systems (2013): 109-132.

[2]. Lu, Jie, et al. "Recommender system application developments." decision support systems (2015): 12-32. 
矩阵分解 Matrix Factorization

[1]. Mnih, Andriy, and Ruslan Salakhutdinov. "Probabilistic Matrix Factorization." neural information processing systems (2008): 1257-1264. [PDF]

[2]. Koren, Yehuda, R. Bell, and C. Volinsky. "Matrix Factorization Techniques for Recommender Systems." Computer 42.8(2009):30-37. [PDF]
 [3]. Koren, Yehuda. "Collaborative filtering with temporal dynamics." Communications of The ACM 53.4 (2010): 89-97. [PDF]
贝叶斯排序 Bayes Ranking

[1]. Rendle, Steffen, et al. "BPR: Bayesian personalized ranking from implicit feedback." uncertainty in artificial intelligence (2009): 452-461. [PDF]

[2]. Zhao, Tong, Julian Mcauley, and Irwin King. "Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering." conference on information and knowledge management (2014): 261-270. [PDF]
 因子分解机 Factorization Machine

[1]. Rendle, Steffen. "Factorization Machines." international conference on data mining (2010). [PDF]

[2]. Rendle, Steffen, et al. "Fast context-aware recommendations with factorization machines." international acm sigir conference on research and development in information retrieval (2011): 635-644. [PDF]
异常检测 Anomaly Detection
托攻击 Shilling Detection

[1]. 伍之昂, 王有权, and 曹杰. "推荐系统托攻击模型与检测技术." (2014). [PDF] (综述)
 [2]. Lam, Shyong K., and John Riedl. "Shilling recommender systems for fun and profit." international world wide web conferences (2004): 393-402. [PDF] (选读)
 [3]. Mehta, Bhaskar, and Wolfgang Nejdl. "Unsupervised strategies for shilling detection and robust collaborative filtering." User Modeling and User-adapted Interaction (2009): 65-97. [PDF]

[4]. Wu, Zhiang, et al. "HySAD: a semi-supervised hybrid shilling attack detector for trustworthy product recommendation." knowledge discovery and data mining (2012): 985-993. [PDF]
垃圾评论检测 Opinion Spam Detection
图/网络挖掘 Graph/Network Mining
网络嵌入 Network Embedding

[1]. Perozzi, Bryan, Rami Alrfou, and Steven Skiena. "DeepWalk: online learning of social representations." knowledge discovery and data mining (2014): 701-710. [PDF]

[2]. Tang, Jian, et al. "LINE: Large-scale Information Network Embedding." international world wide web conferences (2015): 1067-1077.
[PDF]

[3]. Grover, Aditya, and Jure Leskovec. "node2vec: Scalable Feature Learning for Networks." knowledge discovery and data mining (2016): 855-864. [PDF]
About
新生必读 A collection of classical literatures for newbies (students of Prof. Gao)
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Readme
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Intro 入门经典文献
A collection of classical literatures for newbies (students of Prof. Gao) Updating...
注：文献排序不分先后，建议同一主题先阅读综述，然后按序（年份）阅读。有的不支持外链的出版社可能无法通过贴的PDF地址下载，请自行检索下载地址
主题 Topics
推荐系统 Recommender System
综述 Survey

[1]. Bobadilla, Jesus, et al. "Recommender systems survey." Knowledge Based Systems (2013): 109-132.

[2]. Lu, Jie, et al. "Recommender system application developments." decision support systems (2015): 12-32. 
矩阵分解 Matrix Factorization

[1]. Mnih, Andriy, and Ruslan Salakhutdinov. "Probabilistic Matrix Factorization." neural information processing systems (2008): 1257-1264. [PDF]

[2]. Koren, Yehuda, R. Bell, and C. Volinsky. "Matrix Factorization Techniques for Recommender Systems." Computer 42.8(2009):30-37. [PDF]
 [3]. Koren, Yehuda. "Collaborative filtering with temporal dynamics." Communications of The ACM 53.4 (2010): 89-97. [PDF]
贝叶斯排序 Bayes Ranking

[1]. Rendle, Steffen, et al. "BPR: Bayesian personalized ranking from implicit feedback." uncertainty in artificial intelligence (2009): 452-461. [PDF]

[2]. Zhao, Tong, Julian Mcauley, and Irwin King. "Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering." conference on information and knowledge management (2014): 261-270. [PDF]
 因子分解机 Factorization Machine

[1]. Rendle, Steffen. "Factorization Machines." international conference on data mining (2010). [PDF]

[2]. Rendle, Steffen, et al. "Fast context-aware recommendations with factorization machines." international acm sigir conference on research and development in information retrieval (2011): 635-644. [PDF]
异常检测 Anomaly Detection
托攻击 Shilling Detection

[1]. 伍之昂, 王有权, and 曹杰. "推荐系统托攻击模型与检测技术." (2014). [PDF] (综述)
 [2]. Lam, Shyong K., and John Riedl. "Shilling recommender systems for fun and profit." international world wide web conferences (2004): 393-402. [PDF] (选读)
 [3]. Mehta, Bhaskar, and Wolfgang Nejdl. "Unsupervised strategies for shilling detection and robust collaborative filtering." User Modeling and User-adapted Interaction (2009): 65-97. [PDF]

[4]. Wu, Zhiang, et al. "HySAD: a semi-supervised hybrid shilling attack detector for trustworthy product recommendation." knowledge discovery and data mining (2012): 985-993. [PDF]
垃圾评论检测 Opinion Spam Detection
图/网络挖掘 Graph/Network Mining
网络嵌入 Network Embedding

[1]. Perozzi, Bryan, Rami Alrfou, and Steven Skiena. "DeepWalk: online learning of social representations." knowledge discovery and data mining (2014): 701-710. [PDF]

[2]. Tang, Jian, et al. "LINE: Large-scale Information Network Embedding." international world wide web conferences (2015): 1067-1077.
[PDF]

[3]. Grover, Aditya, and Jure Leskovec. "node2vec: Scalable Feature Learning for Networks." knowledge discovery and data mining (2016): 855-864. [PDF]
About
新生必读 A collection of classical literatures for newbies (students of Prof. Gao)
Resources
Readme
Activity
Stars
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Watchers
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0 forks
Report repository
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, 'i');
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var __re = new RegExp('^' + "youtube\\.com" + '
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Intro 入门经典文献
A collection of classical literatures for newbies (students of Prof. Gao) Updating...
注：文献排序不分先后，建议同一主题先阅读综述，然后按序（年份）阅读。有的不支持外链的出版社可能无法通过贴的PDF地址下载，请自行检索下载地址
主题 Topics
推荐系统 Recommender System
综述 Survey

[1]. Bobadilla, Jesus, et al. "Recommender systems survey." Knowledge Based Systems (2013): 109-132.

[2]. Lu, Jie, et al. "Recommender system application developments." decision support systems (2015): 12-32. 
矩阵分解 Matrix Factorization

[1]. Mnih, Andriy, and Ruslan Salakhutdinov. "Probabilistic Matrix Factorization." neural information processing systems (2008): 1257-1264. [PDF]

[2]. Koren, Yehuda, R. Bell, and C. Volinsky. "Matrix Factorization Techniques for Recommender Systems." Computer 42.8(2009):30-37. [PDF]
 [3]. Koren, Yehuda. "Collaborative filtering with temporal dynamics." Communications of The ACM 53.4 (2010): 89-97. [PDF]
贝叶斯排序 Bayes Ranking

[1]. Rendle, Steffen, et al. "BPR: Bayesian personalized ranking from implicit feedback." uncertainty in artificial intelligence (2009): 452-461. [PDF]

[2]. Zhao, Tong, Julian Mcauley, and Irwin King. "Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering." conference on information and knowledge management (2014): 261-270. [PDF]
 因子分解机 Factorization Machine

[1]. Rendle, Steffen. "Factorization Machines." international conference on data mining (2010). [PDF]

[2]. Rendle, Steffen, et al. "Fast context-aware recommendations with factorization machines." international acm sigir conference on research and development in information retrieval (2011): 635-644. [PDF]
异常检测 Anomaly Detection
托攻击 Shilling Detection

[1]. 伍之昂, 王有权, and 曹杰. "推荐系统托攻击模型与检测技术." (2014). [PDF] (综述)
 [2]. Lam, Shyong K., and John Riedl. "Shilling recommender systems for fun and profit." international world wide web conferences (2004): 393-402. [PDF] (选读)
 [3]. Mehta, Bhaskar, and Wolfgang Nejdl. "Unsupervised strategies for shilling detection and robust collaborative filtering." User Modeling and User-adapted Interaction (2009): 65-97. [PDF]

[4]. Wu, Zhiang, et al. "HySAD: a semi-supervised hybrid shilling attack detector for trustworthy product recommendation." knowledge discovery and data mining (2012): 985-993. [PDF]
垃圾评论检测 Opinion Spam Detection
图/网络挖掘 Graph/Network Mining
网络嵌入 Network Embedding

[1]. Perozzi, Bryan, Rami Alrfou, and Steven Skiena. "DeepWalk: online learning of social representations." knowledge discovery and data mining (2014): 701-710. [PDF]

[2]. Tang, Jian, et al. "LINE: Large-scale Information Network Embedding." international world wide web conferences (2015): 1067-1077.
[PDF]

[3]. Grover, Aditya, and Jure Leskovec. "node2vec: Scalable Feature Learning for Networks." knowledge discovery and data mining (2016): 855-864. [PDF]
About
新生必读 A collection of classical literatures for newbies (students of Prof. Gao)
Resources
Readme
Activity
Stars
1 star
Watchers
0 watching
Forks
0 forks
Report repository
Releases
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, 'i');
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Intro 入门经典文献
A collection of classical literatures for newbies (students of Prof. Gao) Updating...
注：文献排序不分先后，建议同一主题先阅读综述，然后按序（年份）阅读。有的不支持外链的出版社可能无法通过贴的PDF地址下载，请自行检索下载地址
主题 Topics
推荐系统 Recommender System
综述 Survey

[1]. Bobadilla, Jesus, et al. "Recommender systems survey." Knowledge Based Systems (2013): 109-132.

[2]. Lu, Jie, et al. "Recommender system application developments." decision support systems (2015): 12-32. 
矩阵分解 Matrix Factorization

[1]. Mnih, Andriy, and Ruslan Salakhutdinov. "Probabilistic Matrix Factorization." neural information processing systems (2008): 1257-1264. [PDF]

[2]. Koren, Yehuda, R. Bell, and C. Volinsky. "Matrix Factorization Techniques for Recommender Systems." Computer 42.8(2009):30-37. [PDF]
 [3]. Koren, Yehuda. "Collaborative filtering with temporal dynamics." Communications of The ACM 53.4 (2010): 89-97. [PDF]
贝叶斯排序 Bayes Ranking

[1]. Rendle, Steffen, et al. "BPR: Bayesian personalized ranking from implicit feedback." uncertainty in artificial intelligence (2009): 452-461. [PDF]

[2]. Zhao, Tong, Julian Mcauley, and Irwin King. "Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering." conference on information and knowledge management (2014): 261-270. [PDF]
 因子分解机 Factorization Machine

[1]. Rendle, Steffen. "Factorization Machines." international conference on data mining (2010). [PDF]

[2]. Rendle, Steffen, et al. "Fast context-aware recommendations with factorization machines." international acm sigir conference on research and development in information retrieval (2011): 635-644. [PDF]
异常检测 Anomaly Detection
托攻击 Shilling Detection

[1]. 伍之昂, 王有权, and 曹杰. "推荐系统托攻击模型与检测技术." (2014). [PDF] (综述)
 [2]. Lam, Shyong K., and John Riedl. "Shilling recommender systems for fun and profit." international world wide web conferences (2004): 393-402. [PDF] (选读)
 [3]. Mehta, Bhaskar, and Wolfgang Nejdl. "Unsupervised strategies for shilling detection and robust collaborative filtering." User Modeling and User-adapted Interaction (2009): 65-97. [PDF]

[4]. Wu, Zhiang, et al. "HySAD: a semi-supervised hybrid shilling attack detector for trustworthy product recommendation." knowledge discovery and data mining (2012): 985-993. [PDF]
垃圾评论检测 Opinion Spam Detection
图/网络挖掘 Graph/Network Mining
网络嵌入 Network Embedding

[1]. Perozzi, Bryan, Rami Alrfou, and Steven Skiena. "DeepWalk: online learning of social representations." knowledge discovery and data mining (2014): 701-710. [PDF]

[2]. Tang, Jian, et al. "LINE: Large-scale Information Network Embedding." international world wide web conferences (2015): 1067-1077.
[PDF]

[3]. Grover, Aditya, and Jure Leskovec. "node2vec: Scalable Feature Learning for Networks." knowledge discovery and data mining (2016): 855-864. [PDF]
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GitHub - mingaoo/Intro: 新生必读 A collection of classical literatures for newbies (students of Prof. Gao) · GitHub
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Intro 入门经典文献
A collection of classical literatures for newbies (students of Prof. Gao) Updating...
注：文献排序不分先后，建议同一主题先阅读综述，然后按序（年份）阅读。有的不支持外链的出版社可能无法通过贴的PDF地址下载，请自行检索下载地址
主题 Topics
推荐系统 Recommender System
综述 Survey

[1]. Bobadilla, Jesus, et al. "Recommender systems survey." Knowledge Based Systems (2013): 109-132.

[2]. Lu, Jie, et al. "Recommender system application developments." decision support systems (2015): 12-32. 
矩阵分解 Matrix Factorization

[1]. Mnih, Andriy, and Ruslan Salakhutdinov. "Probabilistic Matrix Factorization." neural information processing systems (2008): 1257-1264. [PDF]

[2]. Koren, Yehuda, R. Bell, and C. Volinsky. "Matrix Factorization Techniques for Recommender Systems." Computer 42.8(2009):30-37. [PDF]
 [3]. Koren, Yehuda. "Collaborative filtering with temporal dynamics." Communications of The ACM 53.4 (2010): 89-97. [PDF]
贝叶斯排序 Bayes Ranking

[1]. Rendle, Steffen, et al. "BPR: Bayesian personalized ranking from implicit feedback." uncertainty in artificial intelligence (2009): 452-461. [PDF]

[2]. Zhao, Tong, Julian Mcauley, and Irwin King. "Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering." conference on information and knowledge management (2014): 261-270. [PDF]
 因子分解机 Factorization Machine

[1]. Rendle, Steffen. "Factorization Machines." international conference on data mining (2010). [PDF]

[2]. Rendle, Steffen, et al. "Fast context-aware recommendations with factorization machines." international acm sigir conference on research and development in information retrieval (2011): 635-644. [PDF]
异常检测 Anomaly Detection
托攻击 Shilling Detection

[1]. 伍之昂, 王有权, and 曹杰. "推荐系统托攻击模型与检测技术." (2014). [PDF] (综述)
 [2]. Lam, Shyong K., and John Riedl. "Shilling recommender systems for fun and profit." international world wide web conferences (2004): 393-402. [PDF] (选读)
 [3]. Mehta, Bhaskar, and Wolfgang Nejdl. "Unsupervised strategies for shilling detection and robust collaborative filtering." User Modeling and User-adapted Interaction (2009): 65-97. [PDF]

[4]. Wu, Zhiang, et al. "HySAD: a semi-supervised hybrid shilling attack detector for trustworthy product recommendation." knowledge discovery and data mining (2012): 985-993. [PDF]
垃圾评论检测 Opinion Spam Detection
图/网络挖掘 Graph/Network Mining
网络嵌入 Network Embedding

[1]. Perozzi, Bryan, Rami Alrfou, and Steven Skiena. "DeepWalk: online learning of social representations." knowledge discovery and data mining (2014): 701-710. [PDF]

[2]. Tang, Jian, et al. "LINE: Large-scale Information Network Embedding." international world wide web conferences (2015): 1067-1077.
[PDF]

[3]. Grover, Aditya, and Jure Leskovec. "node2vec: Scalable Feature Learning for Networks." knowledge discovery and data mining (2016): 855-864. [PDF]
About
新生必读 A collection of classical literatures for newbies (students of Prof. Gao)
Resources
Readme
Activity
Stars
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Watchers
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0 forks
Report repository
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Intro 入门经典文献
A collection of classical literatures for newbies (students of Prof. Gao) Updating...
注：文献排序不分先后，建议同一主题先阅读综述，然后按序（年份）阅读。有的不支持外链的出版社可能无法通过贴的PDF地址下载，请自行检索下载地址
主题 Topics
推荐系统 Recommender System
综述 Survey

[1]. Bobadilla, Jesus, et al. "Recommender systems survey." Knowledge Based Systems (2013): 109-132.

[2]. Lu, Jie, et al. "Recommender system application developments." decision support systems (2015): 12-32. 
矩阵分解 Matrix Factorization

[1]. Mnih, Andriy, and Ruslan Salakhutdinov. "Probabilistic Matrix Factorization." neural information processing systems (2008): 1257-1264. [PDF]

[2]. Koren, Yehuda, R. Bell, and C. Volinsky. "Matrix Factorization Techniques for Recommender Systems." Computer 42.8(2009):30-37. [PDF]
 [3]. Koren, Yehuda. "Collaborative filtering with temporal dynamics." Communications of The ACM 53.4 (2010): 89-97. [PDF]
贝叶斯排序 Bayes Ranking

[1]. Rendle, Steffen, et al. "BPR: Bayesian personalized ranking from implicit feedback." uncertainty in artificial intelligence (2009): 452-461. [PDF]

[2]. Zhao, Tong, Julian Mcauley, and Irwin King. "Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering." conference on information and knowledge management (2014): 261-270. [PDF]
 因子分解机 Factorization Machine

[1]. Rendle, Steffen. "Factorization Machines." international conference on data mining (2010). [PDF]

[2]. Rendle, Steffen, et al. "Fast context-aware recommendations with factorization machines." international acm sigir conference on research and development in information retrieval (2011): 635-644. [PDF]
异常检测 Anomaly Detection
托攻击 Shilling Detection

[1]. 伍之昂, 王有权, and 曹杰. "推荐系统托攻击模型与检测技术." (2014). [PDF] (综述)
 [2]. Lam, Shyong K., and John Riedl. "Shilling recommender systems for fun and profit." international world wide web conferences (2004): 393-402. [PDF] (选读)
 [3]. Mehta, Bhaskar, and Wolfgang Nejdl. "Unsupervised strategies for shilling detection and robust collaborative filtering." User Modeling and User-adapted Interaction (2009): 65-97. [PDF]

[4]. Wu, Zhiang, et al. "HySAD: a semi-supervised hybrid shilling attack detector for trustworthy product recommendation." knowledge discovery and data mining (2012): 985-993. [PDF]
垃圾评论检测 Opinion Spam Detection
图/网络挖掘 Graph/Network Mining
网络嵌入 Network Embedding

[1]. Perozzi, Bryan, Rami Alrfou, and Steven Skiena. "DeepWalk: online learning of social representations." knowledge discovery and data mining (2014): 701-710. [PDF]

[2]. Tang, Jian, et al. "LINE: Large-scale Information Network Embedding." international world wide web conferences (2015): 1067-1077.
[PDF]

[3]. Grover, Aditya, and Jure Leskovec. "node2vec: Scalable Feature Learning for Networks." knowledge discovery and data mining (2016): 855-864. [PDF]
About
新生必读 A collection of classical literatures for newbies (students of Prof. Gao)
Resources
Readme
Activity
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