Walid Shalaby

Orcid: 0000-0002-6641-069X

According to our database1, Walid Shalaby authored at least 21 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Knowledge Graph-based Session Recommendation with Adaptive Propagation.
CoRR, 2024

2023
Hierarchical Multi-Task Learning Framework for Session-based Recommendations.
Proceedings of the 6th Workshop on Online Recommender Systems and User Modeling co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

2022
M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2020
Building chatbots from large scale domain-specific knowledge bases: challenges and opportunities.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020

2019
Learning concept embeddings for dataless classification via efficient bag-of-concepts densification.
Knowl. Inf. Syst., 2019

Patent retrieval: a literature review.
Knowl. Inf. Syst., 2019

Beyond word embeddings: learning entity and concept representations from large scale knowledge bases.
Inf. Retr. J., 2019

2018
Toward an Interactive Patent Retrieval Framework based on Distributed Representations.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

2017
Learning Concept Embeddings for Efficient Bag-of-Concepts Densification.
CoRR, 2017

Mined semantic analysis: A new concept space model for semantic representation of textual data.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Help me find a job: A graph-based approach for job recommendation at scale.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Semantic Representation Using Explicit Concept Space Models.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Innovation Analytics Using Mined Semantic Analysis.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

Entity Type Recognition Using an Ensemble of Distributional Semantic Models to Enhance Query Understanding.
Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016

Solving cold-start problem in large-scale recommendation engines: A deep learning approach.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

A Visual Semantic Framework for Innovation Analytics.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Measuring Semantic Relatedness using Mined Semantic Analysis.
CoRR, 2015

Simulating IBM Watson in the Classroom.
Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 2015

SustaInno: Toward a Searchable Repository of Sustainability Innovations.
Proceedings of the Artificial Intelligence for Cities, 2015

2014
Watsonsim: Overview of a Question Answering Engine.
CoRR, 2014

Knowledge based dimensionality reduction for technical text mining.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014


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