sweaterr / about-sim

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candidate papers to review #1

Open sweaterr opened 8 years ago

sweaterr commented 8 years ago

Deep Learning Powered In-Session Contextual Ranking using Clickthrough Data

Techniques for Deep Query Understanding

query-auto-completion-for-rare-prefixes

Learning by Example: Training Users with High-quality Query Suggestions

sweaterr commented 8 years ago

세션분리 [10] Huang, X., Peng, F., An, A., & Schuurmans, D. (2004). Dynamic web log session identification with statistical language models. Journal of the American Society for Information Science and Technology, 55(14), 1290-1303.

sweaterr commented 8 years ago

쿼리 클러스터링 http://rali.iro.umontreal.ca/rali/sites/default/files/publis/ACMTOIS2002.pdf http://homes.cs.washington.edu/~alon/www2010.pdf

sweaterr commented 8 years ago

An empirical study on large scale text classification with skip-gram embeddings Pdf_icon Georgios Balikas and Massih-Reza Amini

Deep Feature Fusion Network for Answer Quality Prediction in Community Question Answering Pdf_icon Sai Praneeth Suggu, Kushwanth N. Goutham T, Manoj K. Chinnakotla and Manish Shrivastava

Selective Term Proximity Scoring Via BP-ANN Pdf_icon Ju Yang, Rebecca Stones, Gang Wang and Xiaoguang Liu

Adaptability of Neural Networks on Varying Granularity IR Tasks Pdf_icon Daniel Cohen, Qingyao Ai and W. Bruce Croft

Emulating Human Conversations using Convolutional Neural Network-based IR Pdf_icon Abhay Prakash, Chris Brockett and Puneet Agrawal

A Study of MatchPyramid Models on Ad-hoc Retrieval Pdf_icon Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu and Xueqi Cheng

Learning text representation using recurrent convolutional neural network with highway layers Pdf_icon Ying Wen, Weinan Zhang, Rui Luo and Jun Wang

Toward Word Embedding for Personalized Information Retrieval Pdf_icon Nawal Ould Amer, Philippe Mulhem and Mathias Géry

Toward a Deep Neural Approach for Knowledge-Based IR Pdf_icon Gia-Hung Nguyen, Lynda Tamine, Laure Soulier and Nathalie Bricon-Souf

Query Expansion with Locally-Trained Word Embeddings Pdf_icon Fernando Diaz, Bhaskar Mitra and Nick Craswell

LSTM-Based Predictions for Proactive Information Retrieval Pdf_icon Petri Luukkonen, Markus Koskela and Patrik Floréen

Picture It In Your Mind: Generating High Level Visual Representations From Textual Descriptions Pdf_icon Fabio Carrara, Andrea Esuli, Tiziano Fagni, Fabrizio Falchi and Alejandro Moreo Fernández

Uncertainty in Neural Network Word Embedding Exploration of Potential Threshold Pdf_icon Navid Rekabsaz, Mihai Lupu and Allan Hanbury

Deep Learning Relevance: Creating Relevant Information (as Opposed to Retrieving it) Pdf_icon Christina Lioma, Birger Larsen, Casper Petersen and Jakob Grue Simonsen

Learning Dynamic Classes of Events using Stacked Multilayer Perceptron Networks Pdf_icon Nattiya Kanhabua, Huamin Ren and Thomas B. Moeslund

Representing Documents and Queries as Sets of Word Embedded Vectors for Information Retrieval Pdf_icon Debasis Ganguly, Dwaipayan Roy, Mandar Mitra and Gareth Jones

Using Word Embeddings for Automatic Query Expansion Pdf_icon Dwaipayan Roy, Debjyoti Paul and Mandar Mitra

Modelling User Preferences using Word Embeddings for Context-Aware Venue Recommendation Pdf_icon Jarana Manotumruksa, Craig Macdonald and Iadh Ounis

Using Word Embeddings in Twitter Election Classification Pdf_icon Xiao Yang, Craig Macdonald and Iadh Ounis