Deep memory network with Bi-LSTM for personalized context-aware citation recommendation

Abstract The explosive growth of data leads researchers to waste time and energy to search for papers they need. Context-aware citation recommendation aims to solve this problem by analyzing a citation context and provides a list of recommended papers. In this paper, we propose a context-aware citation recommendation model based on end to end memory network. The model learns the representations of papers and citation contexts respectively based on bidirectional long short-term memory (Bi-LSTM). In particular, we jointly integrate author information and citation relationship in the distributed vector representations of citation contexts and papers. Then calculates the continuous relevance between them based on a computational multilayers memory network. We also conduct experiments on three real-world datasets to evaluate the performance of our model.

[1]  W. Bruce Croft,et al.  Recommending citations for academic papers , 2007, SIGIR.

[2]  Hongfei Yan,et al.  Recommending citations with translation model , 2011, CIKM '11.

[3]  Richard Socher,et al.  Dynamic Memory Networks for Visual and Textual Question Answering , 2016, ICML.

[4]  Xu Sun,et al.  A unified graph model for personalized query-oriented reference paper recommendation , 2013, CIKM.

[5]  Hanqing Lu,et al.  Social recommendation via multi-view user preference learning , 2016, Neurocomputing.

[6]  Abdulmotaleb El-Saddik,et al.  Leveraging biosignal and collaborative filtering for context-aware recommendation , 2013, MIIRH '13.

[7]  Dejun Mu,et al.  A LSTM Based Model for Personalized Context-Aware Citation Recommendation , 2018, IEEE Access.

[8]  MengChu Zhou,et al.  Randomized latent factor model for high-dimensional and sparse matrices from industrial applications , 2019, IEEE CAA J. Autom. Sinica.

[9]  Marco Gori,et al.  Recommender Systems : A Random-Walk Based Approach , 2006 .

[10]  Wenyi Huang,et al.  A Neural Probabilistic Model for Context Based Citation Recommendation , 2015, AAAI.

[11]  Dragomir R. Radev,et al.  The ACL anthology network corpus , 2009, Language Resources and Evaluation.

[12]  Xiaoming Li,et al.  Personalized Citation Recommendation via Convolutional Neural Networks , 2017, APWeb/WAIM.

[13]  Yueting Zhuang,et al.  User Preference Learning for Online Social Recommendation , 2016, IEEE Transactions on Knowledge and Data Engineering.

[14]  Jing Liu,et al.  News Citation Recommendation with Implicit and Explicit Semantics , 2016, ACL.

[15]  Soung Hie Kim,et al.  MCORE: a context-sensitive recommendation system for the mobile Web , 2007, Expert Syst. J. Knowl. Eng..

[16]  Petr Knoth,et al.  Using citation-context to reduce topic drifting on pure citation-based recommendation , 2018, RecSys.

[17]  Yanhong Luo,et al.  A new robust adaptive neural network backstepping control for single machine infinite power system with TCSC , 2020, IEEE/CAA Journal of Automatica Sinica.

[18]  Jiawei Han,et al.  ClusCite: effective citation recommendation by information network-based clustering , 2014, KDD.

[19]  Richard Socher,et al.  Ask Me Anything: Dynamic Memory Networks for Natural Language Processing , 2015, ICML.

[20]  Daniel Jurafsky,et al.  Who should I cite: learning literature search models from citation behavior , 2010, CIKM.

[21]  Ke Gu,et al.  A self-organizing RBF neural network based on distance concentration immune algorithm , 2020, IEEE/CAA Journal of Automatica Sinica.

[22]  Daniel Kifer,et al.  Context-aware citation recommendation , 2010, WWW '10.

[23]  Yi Fang,et al.  Neural Citation Network for Context-Aware Citation Recommendation , 2017, SIGIR.

[24]  Wenyi Huang,et al.  RefSeer: A citation recommendation system , 2014, IEEE/ACM Joint Conference on Digital Libraries.

[25]  Jöran Beel,et al.  Scienstein : A Research Paper Recommender System , 2009 .

[26]  Wenjie Li,et al.  A Three-Layered Mutually Reinforced Model for Personalized Citation Recommendation , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[27]  Jae Sik Lee,et al.  Context Awareness by Case-Based Reasoning in a Music Recommendation System , 2007, UCS.

[28]  Susan T. Dumais,et al.  CiteSight: supporting contextual citation recommendation using differential search , 2014, SIGIR.

[29]  Quoc V. Le,et al.  Distributed Representations of Sentences and Documents , 2014, ICML.

[30]  Ramesh Nallapati,et al.  Joint latent topic models for text and citations , 2008, KDD.

[31]  Xiaojun Wan,et al.  Cross-language context-aware citation recommendation in scientific articles , 2014, SIGIR.

[32]  Jian Pei,et al.  Citation recommendation without author supervision , 2011, WSDM '11.

[33]  MengChu Zhou,et al.  Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data , 2018, IEEE Transactions on Cybernetics.

[34]  Yao Lu,et al.  Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph , 2018, SIGIR.

[35]  Najib Essounbouli,et al.  Neural network based adaptive tracking control for a class of pure feedback nonlinear systems with input saturation , 2019, IEEE/CAA Journal of Automatica Sinica.