Deep Learning for Information Retrieval and Learning to Rank

This posting is about Deep Learning for Information Retrieval and Learning to Rank (i.e. of interest if developing search engines). The posting is complemented by the posting Deep Learning for Question Answering. To get started I recommend checking out Jianfeng Gao‘s (Deep Learning Technology Center at Microsoft Research) presentation Deep Learning for Web Search and Natural Language Processing.

Of partial relevance is the posting Deep Learning for Sentiment Analysis, the posting about Embedding for NLP with Deep Learning, the posting about Deep Learning for Natural Language Processing (ICLR 2017 discoveries), and the posting about Deep Learning for Recommender Systems

Best regards,
Amund Tveit

 

Year  Title Author
2016   Efficient Inference, Search and Evaluation for Latent Variable Models of Text with Applications to Information Retrieval and Machine Translation  K Krstovski
2016   Content-based Information Retrieval via Nearest Neighbor Search  Y Huang
2016   Information retrieval in instant messaging platforms using Recurrent Neural Networks  JHP Suorra
2016   Information Retrieval with Dimensionality Reduction using Deep Belief Networks  V Slot
2015   Deep Sentence Embedding Using the Long Short Term Memory Network: Analysis and Application to Information Retrieval  H Palangi, L Deng, Y Shen, J Gao, X He, J Chen
2014   A compositional hierarchical model for music information retrieval  M Pesek, A Leonardis, M Marolt
2014   Log-Bilinear Document Language Model for Ad-hoc Information Retrieval  X Tu, J Luo, B Li, T He
2016   Learning to rank chemical compounds based on their multiprotein activity using Random Forests  D Lesniak, M l Kowalik, P Kruk
2016   Multilevel Syntactic Parsing Based on Recursive Restricted Boltzmann Machines and Learning to Rank  J Xu, H Chen, S Zhou, B He
2016   Automatic Face Recognition Based On Learning to Rank for Image Quality Assessment  K Busa, G Tejaswi
2015   Application of Learning to Rank to protein remote homology detection  B Liu, J Chen, X Wang

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