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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