Search and information retrieval

Video

Extreme Classification – New Paradigm for Ranking and Recommendation

January 25, 2018 | Manik Varma

The Academic Research Summit, co-organized by Microsoft Research and the Association for Computing Machinery, is a forum to foster meaningful discussion among the Indian computer science research community and raise the bar on research efforts.

Extreme Classification - New Paradigm for Ranking and Recommendation

0:24:19

Video

Natural Language Processing: State-of-Art: Observations and Insights

January 24, 2018 | Pushpak Bhattacharyya

The Academic Research Summit, co-organized by Microsoft Research and the Association for Computing Machinery, is a forum to foster meaningful discussion among the Indian computer science research community and raise the bar on research efforts.…

Natural Language Processing: State-of-Art: Observations and Insights

0:31:14

Publication

Neural Networks for Information Retrieval (WSDM 2018)

Tom Kenter, Alexey Borisov, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining | January 2018

Publication

Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data

Guanghui Qin, Jin-Ge Yao, Xuening Wang, Jinpeng Wang, Chin-Yew Lin

Empirical Methods in Natural Language Processing | January 2018

Project Project

Publication

Mention and Entity Description Co-Attention for Entity Disambiguation

Feng Nie, Yunbo Cao, Jinpeng Wang, Chin-Yew Lin, Rong Pan

Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018) | January 2018

Project Project

Publication

Deep learning for detecting inappropriate content in text

Harish Yenala, Ashish Jhanwar, Manoj Kumar Chinnakotla, Jay Goyal

International Journal of Data Science and Analytics | December 2017, Vol 6: pp. 273-286

Publication

Off-Policy Evaluation For Slate Recommendation

Adith Swaminathan, Akshay Krishnamurthy, Alekh Agarwal, Miro Dudík, John Langford, Damien Jose, Imed Zitouni

2017 Neural Information Processing Systems | December 2017

Project

Publication

Tasks, queries, and rankers in pre-retrieval performance prediction

Paul Thomas, Falk Scholer, Peter Bailey, Alistair Moffat

Proceedings of the Australasian Document Computing Symposium | December 2017

Publication

Large-scale generative query autocompletion

David Maxwell, Peter Bailey, David Hawking

22nd Australasian Document Computing Symposium | December 2017

Microsoft Research Blog

‘Contextual bandit’ breakthrough enables deeper personalization

December 5, 2017 | Miro Dudík

News portals that simultaneously personalize every part of the landing page for every visitor and mobile health apps that adaptively tweak every part of an exercise regimen to maximize the benefit of every user are…

Search and information retrieval

On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots

Result Diversification in Search and Recommendation: A Survey

RASCAL: Novel robotics for scalable and highly available automated storage and retrieval

Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models

Extreme Classification – New Paradigm for Ranking and Recommendation

Natural Language Processing: State-of-Art: Observations and Insights

Neural Networks for Information Retrieval (WSDM 2018)

Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data

Mention and Entity Description Co-Attention for Entity Disambiguation

Deep learning for detecting inappropriate content in text

Off-Policy Evaluation For Slate Recommendation

Tasks, queries, and rankers in pre-retrieval performance prediction

Large-scale generative query autocompletion

‘Contextual bandit’ breakthrough enables deeper personalization

Search and information retrieval

Highlights