no code implementations • 17 Feb 2024 • Yu Wang, Amin Javari, Janani Balaji, Walid Shalaby, Tyler Derr, Xiquan Cui
Then, we adaptively aggregate items' neighbor information considering user intention within the learned session.
no code implementations • 12 Sep 2023 • Sejoon Oh, Walid Shalaby, Amir Afsharinejad, Xiquan Cui
However, the H-MTL framework has not been investigated in SBRSs yet.
no code implementations • 23 Sep 2022 • Walid Shalaby, Sejoon Oh, Amir Afsharinejad, Srijan Kumar, Xiquan Cui
Using one public and one large industrial dataset, we experimentally show that state-of-the-art SBRSs have low performance on sparse sessions with sparse items.
no code implementations • 31 Dec 2019 • Walid Shalaby, Adriano Arantes, Teresa GonzalezDiaz, Chetan Gupta
Popular conversational agents frameworks such as Alexa Skills Kit (ASK) and Google Actions (gActions) offer unprecedented opportunities for facilitating the development and deployment of voice-enabled AI solutions in various verticals.
no code implementations • 1 Jan 2018 • Walid Shalaby, Wlodek Zadrozny, Hongxia Jin
We evaluate our concept embedding models on two tasks: (1) analogical reasoning, where we achieve a state-of-the-art performance of 91% on semantic analogies, (2) concept categorization, where we achieve a state-of-the-art performance on two benchmark datasets achieving categorization accuracy of 100% on one and 98% on the other.
no code implementations • 10 Feb 2017 • Walid Shalaby, Wlodek Zadrozny
Once they are learned, we propose an efficient vector aggregation method to generate fully continuous BoC representations.
no code implementations • 16 Nov 2016 • Jianbo Yuan, Walid Shalaby, Mohammed Korayem, David Lin, Khalifeh Aljadda, Jiebo Luo
One of the most important features of the proposed technique is the fact that it can be applied on top of any existing CF based recommendation engine without changing the CF core.
no code implementations • 4 Apr 2016 • Walid Shalaby, Khalifeh Al Jadda, Mohammed Korayem, Trey Grainger
The data set contains entities extracted from millions of job seekers/recruiters search queries, job postings, and resume documents.
no code implementations • 10 Dec 2015 • Walid Shalaby, Wlodek Zadrozny
The study positions MSA as one of state-of-the-art methods for measuring semantic relatedness, besides the inherent interpretability and simplicity of the generated semantic representation.
no code implementations • 2 Dec 2014 • Sean Gallagher, Wlodek Zadrozny, Walid Shalaby, Adarsh Avadhani
The objective of the project is to design and run a system similar to Watson, designed to answer Jeopardy questions.