no code implementations • 2 Nov 2020 • Rahul Radhakrishnan Iyer, Praveenkumar Kanumala, Stephen Guo, Kannan Achan
Searching for and making decisions about products is becoming increasingly easier in the e-commerce space, thanks to the evolution of recommender systems.
no code implementations • 22 Jan 2020 • Rahul Radhakrishnan Iyer, Miguel Ballesteros, Chris Dyer, Robert Frederking
Syntactic parsing using dependency structures has become a standard technique in natural language processing with many different parsing models, in particular data-driven models that can be trained on syntactically annotated corpora.
no code implementations • 14 Jan 2020 • Rahul Radhakrishnan Iyer, Rohan Kohli, Shrimai Prabhumoye
With the rapid growth of e-Commerce, online product search has emerged as a popular and effective paradigm for customers to find desired products and engage in online shopping.
no code implementations • 8 Jan 2020 • Rahul Radhakrishnan Iyer, Manish Sharma, Vijaya Saradhi
Often, established scientists and especially newbies are caught up in the dilemma of choosing an appropriate conference to get their work through.
no code implementations • 24 Dec 2019 • Rahul Radhakrishnan Iyer, Yulong Pei, Katia Sycara
Tweet classification has attracted considerable attention recently.
no code implementations • 21 Dec 2019 • Rahul Radhakrishnan Iyer, Carolyn Penstein Rose
We formulate the task as a single-label multi-class text categorization problem and propose a supervised machine learning framework incorporating stylometric features.
no code implementations • 17 Dec 2019 • Rahul Radhakrishnan Iyer, Jing Chen, Haonan Sun, Keyang Xu
Social Media has seen a tremendous growth in the last decade and is continuing to grow at a rapid pace.
no code implementations • 13 Dec 2019 • Rahul Radhakrishnan Iyer, Katia Sycara
With the increasing growth of social media, people have started relying heavily on the information shared therein to form opinions and make decisions.
no code implementations • 11 Dec 2019 • Rahul Radhakrishnan Iyer, Ronghuo Zheng, Yuezhang Li, Katia Sycara
In this work, we investigate whether crowd wisdom is useful in predicting such outcomes and whether their opinions are influenced by the experts in the field.
no code implementations • 27 Feb 2016 • Rahul Radhakrishnan Iyer, Sanjeel Parekh, Vikas Mohandoss, Anush Ramsurat, Bhiksha Raj, Rita Singh
Existing video indexing and retrieval methods on popular web-based multimedia sharing websites are based on user-provided sparse tagging.