illustration of magnifying glass over top of a search bar and lines of content on a green gradient background

Search and information retrieval

two sets of chat boxes with likes and dislikes

On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots

Result Diversification in Search and Recommendation: A Survey

ICRA 2024 conference recap blog - RASCAL library

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

Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models

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Universally Scalable Concurrent Search Data Structures

May 4, 2017 | Tudor David

The design of fast, scalable, and correct concurrent systems remains a notoriously difficult task. Particularly problematic is the design of fast and scalable concurrent search data structures, which lie at the core of many modern…

Universally Scalable Concurrent Search Data Structures

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Neural Models for Information Retrieval

Bhaskar Mitra, Nick Craswell

May 2017

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Publication

Meeting Scheduling Assistance with Structured Workflows

Justin Cranshaw, Emad Elwany, Todd Newman, Rafal Kocielnik, Bowen Yu, Sandeep Soni, Jaime Teevan, Andres Monroy-Hernandez

Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2017), Denver, CO | May 2017

Publication

Convolutional Bi-directional LSTM for Detecting Inappropriate Query Suggestions in Web Search

Harish Yenala, Manoj Kumar Chinnakotla, Jay Goyal

Pacific-Asia Conference on Knowledge Discovery and Data Mining | April 2017

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Longitudinal Tweet ID dataset for a selection of Health, Social, and Business Experiences

This data set consists of the tweet IDs collected for the propensity-score analysis of longitudinal social media messages posted by people who mention specific health, social and business domains. This data set accompanies the paper,…

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