Call for Participation: ACM CIKM 2023 Industry Day, Birmingham, UK, October 22, 2023

Call for Participation: CIKM 2023 Industry Day

You can still register in-person for the industry day at the ACM 
Conference on Information and Knowledge Management (CIKM) in Birmingham, 
UK. The industry day takes place October 22 at the University of 
Birmingham campus. It offers a range of industry-related and 
high-profile talks by experts in the field.

Additionally, you can register online for the main CIKM event on October 
23-25, 2023.

Industry Day In-Person and CIKM Online Registration:
https://cikm2023.org/registration-rates

The following talks are scheduled for the industry day (please also see 
https://cikm2023.org/industry-day-programme):

Application and Evaluation of Large Language Models for the Generation 
of Survey Questions
Antonio Maiorino, Zoe Padgett, Chun Wang, Misha Yakubovskiy and Peng Jiang

Unleashing the Power of Large Language Models for Legal Applications
Dell Zhang, Alina Petrova, Dietrich Trautmann and Frank Schilder

Harnessing GPT for Topic-Based Call Segmentation in Microsoft Dynamics 
365 Sales
Itzik Malkiel, Uri Alon, Yakir Yehdua, Shahar Keren, Oren Barkan, Royi 
Ronen and Noam Koenigstein
	
Astrolabe: Visual Graph Database Queries with Tabular Output
Michael Miller

Type theory as a unifiying paradigm for data models
Christoph Dorn and Haikal Pribadi

Proactive and Automatic Detection of Product Misclassifications at 
Massive Scale
Ling Jiang, Xiaoyu Chu, Saaransh Gulati, Pulkit Garg, Andrew Borthwick 
and Gang Luo

Vigil: Effective end-to-end monitoring for large-scale recommender 
systems at Glance
Priyansh Saxena and Manisha R
		
Comparative Analysis of Open Source and Commercial Embedding Models for 
Question Answering
Georgios Balikas

Comparing Fine-Tuned Transformers and Large Language Models for Sales 
Call Classification: A Case Study
Roy Eisenstadt, Abedelkader Asi and Royi Ronen

 From User Activity Traces To Navigation Graph for software enhancement: 
An Application Of Graph Neural Network (GNN) On a Real-world 
Non-attributed Graph	
Boukhraouba Ikram

Practical Lessons Learned From Detecting, Preventing and Mitigating 
Negative Experiences in Facebook
Prathyusha Senthil Kumar
	
LAMM: Language Aware Active Learning for Multilingual Models
Ze Ye, Dantong Liu, Kaushik Pavani and Sunny Dasgupta

Prod2Vec-Var: A Session Based Recommendation System with Enhanced Diversity
Hacer Turgut, Tan Doruk Yetki, Tayfun Arda Yücel and Ömür Bali

RT2S: A Framework for Learning with Noisy Labels
Indranil Bhattacharya, Ze Ye, Kaushik Pavani and Sunny Dasgupta


Looking forward to seeing you in Birmingham!

-- 
Ingo Frommholz (he/him), PhD, FBCS, FHEA
Reader (~Associate Professor) in Data Science
ACM CIKM 2023 General Chair
Head of Data, AI, Interaction, Retrieval, and Language Group 
http://dairel.org
Deputy Head Digital Innovations and Solutions Centre (DISC)
University of Wolverhampton, UK
Adjunct Professor, Bern University of Applied Sciences, Switzerland
Web: http://www.frommholz.org/ | Email: [email protected]
Twitter: @iFromm | Mastodon: @[email protected]
PGP/GPG fingerprint: B74E A422 C7B2 A5BB 2BC2  523B 2790 216E F8F8 D166
http://pgp.mit.edu:11371/pks/lookup?op=get&search=0x2790216EF8F8D166

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