{"list":"other","total":58,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1409.0575","title":"ImageNet Large Scale Visual Recognition Challenge","created":"2014-09-01","cited_by_count":8498},{"id":"1406.1078","title":"Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation","created":"2014-06-03","cited_by_count":4057},{"id":"1812.08434","title":"Graph Neural Networks: A Review of Methods and Applications","created":"2018-12-20","cited_by_count":1576},{"id":"1409.1259","title":"On the Properties of Neural Machine Translation: Encoder-Decoder Approaches","created":"2014-09-03","cited_by_count":1304},{"id":"1808.09781","title":"Self-Attentive Sequential Recommendation","created":"2018-08-20","cited_by_count":1184},{"id":"1806.01973","title":"Graph Convolutional Neural Networks for Web-Scale Recommender Systems","created":"2018-06-06","cited_by_count":1138},{"id":"1508.04025","title":"Effective Approaches to Attention-based Neural Machine Translation","created":"2015-08-17","cited_by_count":1026},{"id":"1506.04757","title":"Image-based Recommendations on Styles and Substitutes","created":"2015-06-15","cited_by_count":706},{"id":"1410.5401","title":"Neural Turing Machines","created":"2014-10-20","cited_by_count":644},{"id":"1602.01585","title":"Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering","created":"2016-02-04","cited_by_count":520},{"id":"1809.07426","title":"Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding","created":"2018-09-19","cited_by_count":476},{"id":"1506.07503","title":"Attention-Based Models for Speech Recognition","created":"2015-06-24","cited_by_count":401},{"id":"1711.04725","title":"Neural Attentive Session-based Recommendation","created":"2017-11-13","cited_by_count":237},{"id":"1606.03126","title":"Key-Value Memory Networks for Directly Reading Documents","created":"2016-06-09","cited_by_count":223},{"id":"1611.05594","title":"SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning","created":"2016-11-17","cited_by_count":219},{"id":"1611.08108","title":"Dynamic Key-Value Memory Networks for Knowledge Tracing","created":"2016-11-24","cited_by_count":171},{"id":"1706.03847","title":"Recurrent Neural Networks with Top-k Gains for Session-based Recommendations","created":"2017-06-12","cited_by_count":165},{"id":"1404.2188","title":"A Convolutional Neural Network for Modelling Sentences","created":"2014-04-08","cited_by_count":163},{"id":"1609.09152","title":"Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation","created":"2016-09-28","cited_by_count":152},{"id":"1707.07435","title":"Deep Learning based Recommender System: A Survey and New Perspectives","created":"2017-07-24","cited_by_count":136},{"id":"2001.04830","title":"Sequential Recommender Systems: Challenges, Progress and Prospects","created":"2019-12-28","cited_by_count":115},{"id":"1708.05024","title":"Fast Matrix Factorization for Online Recommendation with Implicit Feedback","created":"2017-08-16","cited_by_count":101},{"id":"1902.04864","title":"A Survey on Session-based Recommender Systems","created":"2019-02-13","cited_by_count":97},{"id":"1606.08117","title":"Improved Recurrent Neural Networks for Session-based Recommendations","created":"2016-06-27","cited_by_count":86},{"id":"1701.04783","title":"Joint Deep Modeling of Users and Items Using Reviews for Recommendation","created":"2017-01-17","cited_by_count":84},{"id":"1706.04148","title":"Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks","created":"2017-06-13","cited_by_count":84},{"id":"1412.1602","title":"End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results","created":"2014-12-04","cited_by_count":68},{"id":"1802.08452","title":"Sequence-Aware Recommender Systems","created":"2018-02-23","cited_by_count":58},{"id":"1506.02516","title":"Learning to Transduce with Unbounded Memory","created":"2015-06-08","cited_by_count":54},{"id":"1809.07053","title":"NAIS: Neural Attentive Item Similarity Model for Recommendation","created":"2018-09-19","cited_by_count":52},{"id":"1812.02646","title":"RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendation","created":"2018-12-06","cited_by_count":51},{"id":"1711.06632","title":"ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation","created":"2017-11-17","cited_by_count":45},{"id":"1905.00758","title":"Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction","created":"2019-05-02","cited_by_count":41},{"id":"1707.05176","title":"Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking","created":"2017-07-17","cited_by_count":39},{"id":"1708.04320","title":"Situation Recognition with Graph Neural Networks","created":"2017-08-14","cited_by_count":34},{"id":"1406.2661","title":"Generative Adversarial Networks","created":"2014-06-10","cited_by_count":33},{"id":"1606.07154","title":"E-commerce in Your Inbox: Product Recommendations at Scale","created":"2016-06-23","cited_by_count":28},{"id":"1808.01075","title":"Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors","created":"2018-08-03","cited_by_count":27},{"id":"1511.06443","title":"Neural Network Matrix Factorization","created":"2015-11-19","cited_by_count":26},{"id":"1609.05787","title":"Context-aware Sequential Recommendation","created":"2016-09-19","cited_by_count":25},{"id":"2006.00556","title":"Modeling Personalized Item Frequency Information for Next-basket Recommendation","created":"2020-05-31","cited_by_count":24},{"id":"1705.00930","title":"Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner","created":"2017-05-02","cited_by_count":21},{"id":"1811.04392","title":"Deep Item-based Collaborative Filtering for Top-N Recommendation","created":"2018-11-11","cited_by_count":20},{"id":"2107.00852","title":"Exploiting Cross-Session Information for Session-based Recommendation with Graph Neural Networks","created":"2021-07-02","cited_by_count":20},{"id":"1611.04666","title":"A Generic Coordinate Descent Framework for Learning from Implicit Feedback","created":"2016-11-15","cited_by_count":16},{"id":"1809.08161","title":"Learning to Recommend with Multiple Cascading Behaviors","created":"2018-09-21","cited_by_count":16},{"id":"1902.08588","title":"Towards Neural Mixture Recommender for Long Range Dependent User Sequences","created":"2019-02-22","cited_by_count":15},{"id":"1706.07684","title":"Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks","created":"2017-06-23","cited_by_count":11},{"id":"1608.07102","title":"Multi-behavioral Sequential Prediction with Recurrent Log-bilinear Model","created":"2016-08-25","cited_by_count":9},{"id":"1708.01292","title":"What your Facebook Profile Picture Reveals about your Personality","created":"2017-08-03","cited_by_count":7},{"id":"1610.04211","title":"Gated End-to-End Memory Networks","created":"2016-10-13","cited_by_count":6},{"id":"1401.4529","title":"General factorization framework for context-aware recommendations","created":"2014-01-18","cited_by_count":5},{"id":"1807.06161","title":"Explanations for Temporal Recommendations","created":"2018-07-17","cited_by_count":3},{"id":"1808.10031","title":"Recommendation Through Mixtures of Heterogeneous Item Relationships","created":"2018-08-29","cited_by_count":3},{"id":"1810.12770","title":"Explicit Feedbacks Meet with Implicit Feedbacks : A Combined Approach for Recommendation System","created":"2018-10-29","cited_by_count":3},{"id":"1903.00066","title":"A Long-Short Demands-Aware Model for Next-Item Recommendation","created":"2019-02-12","cited_by_count":3},{"id":"1706.10231","title":"Improving Session Recommendation with Recurrent Neural Networks by Exploiting Dwell Time","created":"2017-06-30","cited_by_count":1}],"next_cursor":null}