Search Results for author: Vijai Mohan

Found 9 papers, 4 papers with code

A Study of Context Dependencies in Multi-page Product Search

no code implementations9 Sep 2019 Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft

In this paper, we study RF techniques based on both long-term and short-term context dependencies in multi-page product search.

Leverage Implicit Feedback for Context-aware Product Search

no code implementations4 Sep 2019 Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft

However, customers with little or no purchase history do not benefit from personalized product search.

Re-Ranking

Semantic Product Search

1 code implementation1 Jul 2019 Priyanka Nigam, Yiwei Song, Vijai Mohan, Vihan Lakshman, Weitian, Ding, Ankit Shingavi, Choon Hui Teo, Hao Gu, Bing Yin

To address these issues, we train a deep learning model for semantic matching using customer behavior data.

Compressing Gradient Optimizers via Count-Sketches

1 code implementation1 Feb 2019 Ryan Spring, Anastasios Kyrillidis, Vijai Mohan, Anshumali Shrivastava

The problem is becoming more severe as deep learning models continue to grow larger in order to learn from complex, large-scale datasets.

Adaptive, Personalized Diversity for Visual Discovery

no code implementations2 Oct 2018 Choon Hui Teo, Houssam Nassif, Daniel Hill, Sriram Srinavasan, Mitchell Goodman, Vijai Mohan, SVN Vishwanathan

Search queries are appropriate when users have explicit intent, but they perform poorly when the intent is difficult to express or if the user is simply looking to be inspired.

THE EFFECTIVENESS OF A TWO-LAYER NEURAL NETWORK FOR RECOMMENDATIONS

no code implementations ICLR 2018 Oleg Rybakov, Vijai Mohan, Avishkar Misra, Scott LeGrand, Rejith Joseph, Kiuk Chung, Siddharth Singh, Qian You, Eric Nalisnick, Leo Dirac, Runfei Luo

We present a personalized recommender system using neural network for recommending products, such as eBooks, audio-books, Mobile Apps, Video and Music.

Recommendation Systems

Realtime query completion via deep language models

no code implementations ICLR 2018 Po-Wei Wang, J. Zico Kolter, Vijai Mohan, Inderjit S. Dhillon

Search engine users nowadays heavily depend on query completion and correction to shape their queries.

Language Modelling

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