Learning deep structured semantic models for web search using clickthrough data
Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng, Alex Acero, Larry Heck
The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.
this paper
works it cites
works citing it
node size = global citations · hover for the full title
Citation edge evidence
- Embedding Entities and Relations for Learning and Inference in Knowledge Bases→Learning deep structured semantic models for web search using clickthrough dataLegacy edge — source detail unavailable
- Deep Learning: Methods and Applications→Learning deep structured semantic models for web search using clickthrough dataLegacy edge — source detail unavailable
- Deep Learning--based Text Classification→Learning deep structured semantic models for web search using clickthrough dataLegacy edge — source detail unavailable
- A Survey on Deep Learning→Learning deep structured semantic models for web search using clickthrough dataLegacy edge — source detail unavailable
- Learning deep structured semantic models for web search using clickthrough data→Latent dirichlet allocationLegacy edge — source detail unavailable
- Learning deep structured semantic models for web search using clickthrough data→Indexing by latent semantic analysisLegacy edge — source detail unavailable
- Learning deep structured semantic models for web search using clickthrough data→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
- Learning deep structured semantic models for web search using clickthrough data→Learning Deep Architectures for AILegacy edge — source detail unavailable
- Learning deep structured semantic models for web search using clickthrough data→Natural Language Processing (almost) from ScratchLegacy edge — source detail unavailable
- Learning deep structured semantic models for web search using clickthrough data→Learning Deep Architectures for AILegacy edge — source detail unavailable
- Learning deep structured semantic models for web search using clickthrough data→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
- Learning deep structured semantic models for web search using clickthrough data→Learning to rank using gradient descentLegacy edge — source detail unavailable
- Learning deep structured semantic models for web search using clickthrough data→Neural Networks: Tricks of the TradeLegacy edge — source detail unavailable
- Learning deep structured semantic models for web search using clickthrough data→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
- Embedding Entities and Relations for Learning and Inference in Knowledge Bases→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
- Latent dirichlet allocation→Indexing by latent semantic analysisLegacy edge — source detail unavailable
- Learning Deep Architectures for AI→Neural Networks: Tricks of the TradeLegacy edge — source detail unavailable
- Learning Deep Architectures for AI→Indexing by latent semantic analysisLegacy edge — source detail unavailable
- Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→Learning Deep Architectures for AILegacy edge — source detail unavailable
- Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→Learning Deep Architectures for AILegacy edge — source detail unavailable
- Deep Learning: Methods and Applications→Learning Deep Architectures for AILegacy edge — source detail unavailable
- Deep Learning: Methods and Applications→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
- Deep Learning: Methods and Applications→Natural Language Processing (almost) from ScratchLegacy edge — source detail unavailable
- Deep Learning: Methods and Applications→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
- Deep Neural Networks for Acoustic Modeling in Speech Recognition→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
- A Survey on Deep Learning→Learning Deep Architectures for AILegacy edge — source detail unavailable
- A Survey on Deep Learning→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
- A Survey on Deep Learning→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
- Deep Learning--based Text Classification→Indexing by latent semantic analysisLegacy edge — source detail unavailable
What this paper cites, inside the corpus
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Embedding Entities and Relations for Learning and Inference in Knowledge Bases | 2014 | 2,051 |
| Deep Learning: Methods and Applications | 2014 | 1,801 |
| Deep Learning--based Text Classification | 2021 | 1,525 |
| A Survey on Deep Learning | 2018 | 1,398 |
Links
Topics
| Topic Modeling | Computer Science |
| Multimodal Machine Learning Applications | Computer Science |
| Advanced Image and Video Retrieval Techniques | Computer Science |
Is this record sound?
complete
Nothing in this record contradicts itself and no field we check is missing.
- supports6 author record(s) attached.
- supports34 reference(s) recorded.
- neutralThe DOI carries no year to check against.
- supportsA title is present.
Provenance
sha256 6e314d9c6052d1ed…