Vachik S. Dave

According to our database, Vachik S. Dave authored at least 24 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The 3rd International Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom 2024).

Vachik S. Dave, Linsey Pang, Xiquan Cui, Chen Luo, Hamed Zamani, Lingfei Wu, George Karypis

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

International Workshop on Online and Adaptive Recommender Systems (OARS 2024).

Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Stephen D. Guo, Chip Huyen

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

The 2nd Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom).

Vachik S. Dave, Linsey Pang, Xiquan Cui, Lingfei Wu, Hamed Zamani, George Karypis

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Entity-aware Multi-task Learning for Query Understanding at Walmart.

Zhiyuan Peng, Vachik S. Dave, Nicole McNabb, Rahul Sharnagat, Alessandro Magnani, Ciya Liao, Yi Fang, Sravanthi Rajanala

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

3rd Workshop on Online and Adaptive Recommender Systems (OARS).

Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Stephen D. Guo, Chip Huyen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

2nd Workshop on Online and Adaptive Recommender Systems (OARS).

Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Mohammed Korayem

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Workshop on Online and Adaptative Recommender Systems (OARS).

Xiquan Cui, Estelle Afshar, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Vachik S. Dave, Mohammad Korayem

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2019

Analysis and Comparison of Neural Network Models for Software Development Effort Estimation.

Kamlesh Dutta, Varun Gupta, Vachik S. Dave

J. Cases Inf. Technol., 2019

Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding.

Vachik S. Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan

Data Sci. Eng., 2019

Triangle Completion Time Prediction Using Time-Conserving Embedding.

Vachik S. Dave, Mohammad Al Hasan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Network Alignment Using Graphlet Signature and High Order Proximity.

Aljohara Almulhim, Vachik S. Dave, Mohammad Al Hasan

Proceedings of the Machine Learning, Optimization, and Data Science, 2019

Dirichlet Process Gaussian Mixture for Active Online Name Disambiguation by Particle Filter.

Baichuan Zhang, Murat Dundar, Vachik S. Dave, Mohammad Al Hasan

Proceedings of the 19th ACM/IEEE Joint Conference on Digital Libraries, 2019

Neural-brane: an inductive approach for attributed network embedding.

Vachik S. Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

Triangle counting in large networks: a review.

Mohammad Al Hasan, Vachik S. Dave

WIREs Data Mining Knowl. Discov., 2018

Predicting <i>interval time</i> for reciprocal link creation using survival analysis.

Vachik S. Dave, Mohammad Al Hasan, Baichuan Zhang, Chandan K. Reddy

Soc. Netw. Anal. Min., 2018

A Combined Representation Learning Approach for Better Job and Skill Recommendation.

Vachik S. Dave, Baichuan Zhang, Mohammad Al Hasan, Khalifeh AlJadda, Mohammed Korayem

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Feature Selection for Classification under Anonymity Constraint.

Baichuan Zhang, Noman Mohammed, Vachik S. Dave, Mohammad Al Hasan

Trans. Data Priv., 2017

Supporting Employer Name Normalization at both Entity and Cluster Level.

Qiaoling Liu, Faizan Javed, Vachik S. Dave, Ankita Joshi

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

How Fast Will You Get a Response? Predicting Interval Time for Reciprocal Link Creation.

Vachik S. Dave, Mohammad Al Hasan, Chandan K. Reddy

Proceedings of the Eleventh International Conference on Web and Social Media, 2017

E-CLoG: Counting edge-centric local graphlets.

Vachik S. Dave, Nesreen K. Ahmed, Mohammad Al Hasan

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2015

Feature Selection for Classification under Anonymity Constraint.

Baichuan Zhang, Vachik S. Dave, Mohammad Al Hasan

CoRR, 2015

TopCom: Index for Shortest Distance Query in Directed Graph.

Vachik S. Dave, Mohammad Al Hasan

Proceedings of the Database and Expert Systems Applications, 2015

2014

Neural network based models for software effort estimation: a review.

Vachik S. Dave, Kamlesh Dutta

Artif. Intell. Rev., 2014

2011

Comparison of regression model, feed-forward neural network and radial basis neural network for software development effort estimation.

Vachik S. Dave, Kamlesh Dutta

ACM SIGSOFT Softw. Eng. Notes, 2011