A Topic-Sensitive Method for Mashup Tag Recommendation Utilizing Multi-Relational Service Data

[1]  Frank Leymann,et al.  Web Services Platform Architecture: SOAP, WSDL, WS-Policy, WS-Addressing, WS-BPEL, WS-Reliable Messaging, and More , 2005 .

[2]  Jussara M. Almeida,et al.  A survey on tag recommendation methods , 2017, J. Assoc. Inf. Sci. Technol..

[3]  Michael I. Jordan,et al.  Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..

[4]  Zhiyuan Liu,et al.  A Simple Word Trigger Method for Social Tag Suggestion , 2011, EMNLP.

[5]  John G. Breslin,et al.  Factorization Machines Leveraging Lightweight Linked Open Data-Enabled Features for Top-N Recommendations , 2017, WISE.

[6]  Steffen Rendle,et al.  Factorization Machines with libFM , 2012, TIST.

[7]  Mohamed Quafafou,et al.  Multilabel Learning for Automatic Web Services Tagging , 2014 .

[8]  Marko A. Rodriguez,et al.  Exposing multi-relational networks to single-relational network analysis algorithms , 2008, J. Informetrics.

[9]  Nikos Loutas,et al.  Closing the Service Discovery Gap by Collaborative Tagging and Clustering Techniques , 2008, SMRR.

[10]  Andy Hon Wai Chun,et al.  Automatic tag recommendation for the web 2.0 blogosphere using collaborative tagging and hybrid ANN semantic structures , 2007 .

[11]  Mark Baillie,et al.  Tripartite Hidden Topic Models for Personalised Tag Suggestion , 2010, ECIR.

[12]  Lars Schmidt-Thieme,et al.  BPR: Bayesian Personalized Ranking from Implicit Feedback , 2009, UAI.

[13]  Raymond Y. K. Lau,et al.  Incorporating sentiment into tag-based user profiles and resource profiles for personalized search in folksonomy , 2016, Inf. Process. Manag..

[14]  Lu Fang,et al.  Towards Automatic Tagging for Web Services , 2012, 2012 IEEE 19th International Conference on Web Services.

[15]  S. Bacchini.  The Encyclopedia of Applied Linguistics , 2014 .

[16]  Zheng Liu,et al.  Ranking on heterogeneous manifolds for tag recommendation in social tagging services , 2015, Neurocomputing.

[17]  Gregor Heinrich.  Parameter estimation for text analysis , 2009 .

[18]  Mingdong Tang,et al.  A Probabilistic Topic Model for Mashup Tag Recommendation , 2016, 2016 IEEE International Conference on Web Services (ICWS).

[19]  Hailong Sun,et al.  A Novel Approach for API Recommendation in Mashup Development , 2014, 2014 IEEE International Conference on Web Services.

[20]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.

[21]  Eleni Stroulia,et al.  Semantic Structure Matching for Assessing Web-Service Similarity , 2003, ICSOC.

[22]  Bingbing Ni,et al.  Assistive tagging: A survey of multimedia tagging with human-computer joint exploration , 2012, CSUR.

[23]  Jie Zhang,et al.  TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation , 2014, AAAI.

[24]  Yifan Hu,et al.  Collaborative Filtering for Implicit Feedback Datasets , 2008, 2008 Eighth IEEE International Conference on Data Mining.

[25]  Mingdong Tang,et al.  Using Relational Topic Model and Factorization Machines to Recommend Web APIs for Mashup Creation , 2016, APSCC.

[26]  Dong Zhou,et al.  A Hybrid Approach for Automatic Mashup Tag Recommendation , 2017, J. Web Eng..

[27]  Dong Zhou,et al.  An iterative method for personalized results adaptation in cross-language search , 2018, Inf. Sci..

[28]  Xavier Serra,et al.  Analysis of the Impact of a Tag Recommendation System in a Real-World Folksonomy , 2015, ACM Trans. Intell. Syst. Technol..

[29]  Mingdong Tang,et al.  WE-LDA: A Word Embeddings Augmented LDA Model for Web Services Clustering , 2017, 2017 IEEE International Conference on Web Services (ICWS).

[30]  Jussara M. Almeida,et al.  Personalized and object-centered tag recommendation methods for Web 2.0 applications , 2014, Inf. Process. Manag..

[31]  Gilad Mishne,et al.  AutoTag: a collaborative approach to automated tag assignment for weblog posts , 2006, WWW '06.

[32]  Jiawei Han,et al.  Community Mining from Multi-relational Networks , 2005, PKDD.

[33]  David Wai-Lok Cheung,et al.  Automatic Tagging Web Services Using Machine Learning Techniques , 2014, 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT).

[34]  S. Shalev-Shwartz,et al.  Stochastic Gradient Descent , 2014 .

[35]  Dit-Yan Yeung,et al.  Relational Stacked Denoising Autoencoder for Tag Recommendation , 2015, AAAI.

[36]  Anísio Lacerda,et al.  Demand-Driven Tag Recommendation , 2010, ECML/PKDD.

[37]  Maosong Sun,et al.  Tag-LDA for Scalable Real-time Tag Recommendation , 2009 .

[38]  Sana Sellami,et al.  WSTP: Web Services Tagging Platform , 2015, ICSOC.

[39]  Dong Zhou,et al.  Query Expansion with Enriched User Profiles for Personalized Search Utilizing Folksonomy Data , 2017, IEEE Transactions on Knowledge and Data Engineering.

[40]  Steffen Rendle,et al.  Factorization Machines , 2010, 2010 IEEE International Conference on Data Mining.

[41]  Ralf Krestel,et al.  Latent dirichlet allocation for tag recommendation , 2009, RecSys '09.

[42]  Zibin Zheng,et al.  WT-LDA: User Tagging Augmented LDA for Web Service Clustering , 2013, ICSOC.