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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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Publication

Representing and Recommending Shopping Baskets with Complementarity, Compatibility, and Loyalty

Mengting Wan, Di Wang, Jie Liu, Paul Bennett, Julian McAuley

27th ACM International Conference on Information and Knoweldge Management | October 2018

Publication

RevHashNet: Perceptually de-hashing real-valued image hashes for similarity retrieval

Yongwei Wang, Hamid Palangi, Z. Jane Wang, Haoqian Wang

Signal Processing: Image Communication | October 2018, Vol 68: pp. 68-75

Tool

Space Partition Tree and Graph (SPTAG)

SPTAG (Space Partition Tree And Graph) is a library for large scale vector approximate nearest neighbor search scenario. It assumes that the samples are represented as vectors and that the vectors can be compared by…

GitHub

Podcast

Malmo, Minecraft and machine learning with Dr. Katja Hofmann

August 29, 2018

Episode 39, August 29, 2018 – Dr. Hofmann talks about her vision of a future where machines learn to collaborate with people and empower them to help solve complex, real-world problems. She also shares the…

Publication

Answering What If, Should I and Other Expectation Exploration Queries Using Causal Inference over Longitudinal Data

Emre Kiciman, Jorgen Thelin

1st Biennial Conference on Design of Experimental Search and Information Retrieval Systems (DESIRES) 2018 | August 2018

Project

Video

A Cross-modal Audio Search Engine based on Joint Audio-Text Embeddings

August 23, 2018 | Benjamin Elizalde

Ad-hoc audio clips, such as those from smart speakers, social media apps, security cameras and podcasts, are being recorded and shared online on a daily basis. For a variety of applications, it is important to…

A Cross-modal Audio Search Engine based on Joint Audio-Text Embeddings

55:11

Publication

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | August 2018

Publication

A Line in the Sand: Recommendation or Ad-hoc Retrieval?

Surya Kallumadi, Bhaskar Mitra, Tereza Iofciu

Proceedings of the Recommender Systems Challenge 2018 | July 2018

Publication

Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach

Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun

International Joint Conferences on Artificial Intelligence (IJCAI) | July 2018

Video

You Can Lead a Horse to Water: Spatial Learning and Path Dependence in Consumer Search

July 11, 2018 | Greg Lewis

We introduce a model of search by imperfectly informed consumers with unit demand. Consumers learn spatially: sampling the payoff to one product causes them to update their payoffs about all products that are nearby in…

You Can Lead a Horse to Water Spatial Learning and Path Dependence in Consumer Search

51:34

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Search and information retrieval

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