Information Retrieval

869 papers with code • 10 benchmarks • 84 datasets

Information retrieval is the task of ranking a list of documents or search results in response to a query

( Image credit: sudhanshumittal )


Use these libraries to find Information Retrieval models and implementations
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Most implemented papers

Modeling Relational Data with Graph Convolutional Networks

tkipf/relational-gcn 17 Mar 2017

We demonstrate the effectiveness of R-GCNs as a stand-alone model for entity classification.

TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents

huggingface/transfer-learning-conv-ai 23 Jan 2019

We introduce a new approach to generative data-driven dialogue systems (e. g. chatbots) called TransferTransfo which is a combination of a Transfer learning based training scheme and a high-capacity Transformer model.

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

github/CodeSearchNet 20 Sep 2019

To enable evaluation of progress on code search, we are releasing the CodeSearchNet Corpus and are presenting the CodeSearchNet Challenge, which consists of 99 natural language queries with about 4k expert relevance annotations of likely results from CodeSearchNet Corpus.

Declarative Experimentation in Information Retrieval using PyTerrier

terrier-org/pyterrier 28 Jul 2020

The advent of deep machine learning platforms such as Tensorflow and Pytorch, developed in expressive high-level languages such as Python, have allowed more expressive representations of deep neural network architectures.

Deep Learning based Recommender System: A Survey and New Perspectives

DreamingRaven/Nemesyst 24 Jul 2017

This article aims to provide a comprehensive review of recent research efforts on deep learning based recommender systems.

Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data

Atomu2014/product-nets-distributed 1 Jul 2018

User response prediction is a crucial component for personalized information retrieval and filtering scenarios, such as recommender system and web search.

ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT

stanford-futuredata/ColBERT 27 Apr 2020

ColBERT introduces a late interaction architecture that independently encodes the query and the document using BERT and then employs a cheap yet powerful interaction step that models their fine-grained similarity.

Deep Neural Networks for YouTube Recommendations

shenweichen/DeepCTR 7 Sep 2016

YouTube represents one of the largest scale and most sophisticated industrial recommendation systems in existence.

Image-based table recognition: data, model, and evaluation

ibm-aur-nlp/PubTabNet ECCV 2020

In addition, we propose a new Tree-Edit-Distance-based Similarity (TEDS) metric for table recognition, which more appropriately captures multi-hop cell misalignment and OCR errors than the pre-established metric.