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1. Full Text Collaborative Filtering beyond the User-Item Matrix
: A Survey of the State of the Art and Future Challenges
by Shi, Yue and Larson, Martha and Hanjalic, Alan
ACM computing surveys, ISSN 0360-0300, 07/2014, Volume 47, Issue 1, pp. 1 - 45
collaborative filtering | recommender systems | Algorithms | challenges | social networks | survey | applications | Survey | Applications | Collaborative filtering | Challenges | Social networks | Recommender systems | Information storage and retrieval | Surveys | Studies | Technology adoption | Models | Matrix
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2. Full Text Attention based collaborative filtering
by Fu, Mingsheng and Qu, Hong and Moges, Dagmawi and Lu, Li
Neurocomputing (Amsterdam), ISSN 0925-2312, 10/2018, Volume 311, pp. 88 - 98
Attention model | Deep learning | Collaborative filtering | Recommender system | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Computer science | Analysis
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3. Full Text Parallel and Distributed Collaborative Filtering
: A Survey
by Karydi, Efthalia and Margaritis, Konstantinos
ACM computing surveys, ISSN 0360-0300, 11/2016, Volume 49, Issue 2, pp. 1 - 41
Collaborative filtering | recommender systems | Recommender systems | Computer Science, Theory & Methods | Technology | Computer Science | Science & Technology | Surveys | Computer programming | Internet service providers | Algorithms | Studies | Filtering systems
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4. Full Text Evaluating collaborative filtering recommender systems
by Herlocker, Jonathan and Konstan, Joseph and Terveen, Loren and Riedl, John
ACM transactions on information systems, ISSN 1046-8188, 01/2004, Volume 22, Issue 1, pp. 5 - 53
evaluation | recommender systems | metrics | Collaborative filtering | Evaluation | Metrics | Recommender systems | Computer Science, Information Systems | Technology | Computer Science | Science & Technology | Metric system | Models | Studies | Performance evaluation | Filtering software | Comparative analysis | Information systems
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5. Full Text Neural collaborative filtering
by He, Xiangnan and Liao, Lizi and Zhang, Hanwang and Nie, Liqiang and Hu, Xia and Chua, Tat-Seng
26th International World Wide Web Conference, WWW 2017, 2017, pp. 173 - 182
Deep learning | Collaborative filtering | Implicit feedback | Neural networks | Matrix factorization
Conference Proceeding
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6. Full Text Collaborative filtering based on significances
by Bobadilla, Jesús and Hernando, Antonio and Ortega, Fernando and Gutiérrez, Abraham
Information sciences, ISSN 0020-0255, 2012, Volume 185, Issue 1, pp. 1 - 17
Items | Collaborative filtering | Significances | Recommender systems | Computer Science, Information Systems | Technology | Computer Science | Science & Technology | Apples | Filtering | Filtration | Similarity | Television | Mathematical analysis | News | Ratings
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7. Full Text A survey of collaborative filtering based social recommender systems
by Yang, Xiwang and Guo, Yang and Liu, Yong and Steck, Harald
Computer communications, ISSN 0140-3664, 03/2014, Volume 41, pp. 1 - 10
Collaborative filtering | Social network | Recommender system | Computer Science, Information Systems | Engineering | Technology | Computer Science | Engineering, Electrical & Electronic | Telecommunications | Science & Technology | Applied sciences | Software | Computer systems and distributed systems. User interface | Exact sciences and technology | Computer science; control theory; systems
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8. Full Text CF4J: Collaborative filtering for Java
by Ortega, F and Zhu, B and Bobadilla, J and Hernando, A
Knowledge-based systems, ISSN 0950-7051, 07/2018, Volume 152, pp. 94 - 99
Java | Collaborative filtering | Recommender systems | Framework | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Datasets | Filtration | Researchers | Information overload | Filtering systems
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9. Full Text Collaborative filtering and deep learning based recommendation system for cold start items
by Wei, Jian and He, Jianhua and Chen, Kai and Zhou, Yi and Tang, Zuoyin
Expert systems with applications, ISSN 0957-4174, 03/2017, Volume 69, pp. 29 - 39
Deep learning neural network | Collaborative filtering | Data mining | Cold start problem | Recommendation system | Operations Research & Management Science | Engineering | Technology | Computer Science | Engineering, Electrical & Electronic | Computer Science, Artificial Intelligence | Science & Technology | Social networks | Usage | Electronic commerce | Neural networks | Analysis | Filtration | Artificial neural networks | On-line systems | Switching | Ratings | Cold starts | Machine learning | Feature extraction | Mathematical models | Retraining | Intelligent systems | Recommender systems | System effectiveness
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10. Full Text Category Preferred Canopy–K-means based Collaborative Filtering algorithm
by Li, Jianjiang and Zhang, Kai and Yang, Xiaolei and Wei, Peng and Wang, Jie and Mitra, Karan and Ranjan, Rajiv
Future generation computer systems, ISSN 0167-739X, 04/2019, Volume 93, pp. 1046 - 1054
Collaborative Filtering | Category preferred ratio | Data mining | Recommender system | Computer Science, Theory & Methods | Technology | Computer Science | Science & Technology | Computer science | Algorithms
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11. Full Text A multi-level collaborative filtering method that improves recommendations
by Polatidis, Nikolaos and Georgiadis, Christos K
Expert systems with applications, ISSN 0957-4174, 04/2016, Volume 48, pp. 100 - 110
Hybrid | Multi-level | Collaborative filtering | Similarity | Recommender system | Operations Research & Management Science | Engineering | Technology | Computer Science | Engineering, Electrical & Electronic | Computer Science, Artificial Intelligence | Science & Technology | Filtration | Filtering | Online | Decision making | Expert systems | Recommender systems | Computer Science - Information Retrieval
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12. Full Text A knowledge-based multi-criteria collaborative filtering approach for discovering services in mobile cloud computing platforms: The case of MobiCloUP
by Colombo-Mendoza, Luis Omar and Valencia-García, Rafael and Colomo-Palacios, Ricardo and Alor-Hernández, Giner
Journal of intelligent information systems, ISSN 0925-9902, 2018, Volume 54, Issue 1, pp. 179 - 203
Semantic web | Mobile cloud computing | Knowledge base | Collaborative filtering | Multi-criteria rating | Recommender system | Computer Science, Information Systems | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Computer science | Cloud computing | Usage | Mobile applications | Web sites | Telecommunications services industry | Communications industry
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13. Full Text QoS-Aware Web Service Recommendation by Collaborative Filtering
by Zibin Zheng and Hao Ma and Lyu, M R and King, I
IEEE transactions on services computing, ISSN 1939-1374, 04/2011, Volume 4, Issue 2, pp. 140 - 152
Training | collaborative filtering | Accuracy | service recommendation | Web services | QoS | Collaboration | Quality of service | Web service | service selection | Computational complexity | Equations | Computer Science, Information Systems | Computer Science, Software Engineering | Technology | Computer Science | Science & Technology | Studies | Internet service providers | Conduction | Algorithms | Filtering | Filtration | Java (programming language) | Collection | Internet
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