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ORCIDWalid Shalaby
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2020 – today
- 2024
[c15]Yu Wang
, Amin Javari, Janani Balaji, Walid Shalaby, Tyler Derr, Xiquan Cui:
Knowledge Graph-based Session Recommendation with Session-Adaptive Propagation. WWW (Companion Volume) 2024: 264-273- [i12]Yu Wang, Amin Javari, Janani Balaji, Walid Shalaby, Tyler Derr, Xiquan Cui:
Knowledge Graph-based Session Recommendation with Adaptive Propagation. CoRR abs/2402.11302 (2024) - 2023
- [c14]Sejoon Oh, Walid Shalaby, Amir Afsharinejad, Xiquan Cui:
Hierarchical Multi-Task Learning Framework for Session-based Recommendations. ORSUM@RecSys 2023 - [i11]Sejoon Oh, Walid Shalaby, Amir Afsharinejad, Xiquan Cui:
Hierarchical Multi-Task Learning Framework for Session-based Recommendations. CoRR abs/2309.06533 (2023) - 2022
- [c13]Walid Shalaby, Sejoon Oh, Amir Afsharinejad, Srijan Kumar, Xiquan Cui:
M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations. RecSys 2022: 573-578 - [i10]Walid Shalaby, Sejoon Oh, Amir Afsharinejad, Srijan Kumar, Xiquan Cui:
M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations. CoRR abs/2209.11824 (2022) - 2020
- [c12]Walid Shalaby, Adriano S. Arantes, Teresa GonzalezDiaz, Chetan Gupta:
Building chatbots from large scale domain-specific knowledge bases: challenges and opportunities. ICPHM 2020: 1-8 - [i9]Walid Shalaby, Adriano S. Arantes, Teresa GonzalezDiaz, Chetan Gupta:
Building chatbots from large scale domain-specific knowledge bases: challenges and opportunities. CoRR abs/2001.00100 (2020)
2010 – 2019
- 2019
- [j3]Walid Shalaby, Wlodek Zadrozny, Hongxia Jin:
Beyond word embeddings: learning entity and concept representations from large scale knowledge bases. Inf. Retr. J. 22(6): 525-542 (2019) - [j2]Walid Shalaby, Wlodek Zadrozny:
Patent retrieval: a literature review. Knowl. Inf. Syst. 61(2): 631-660 (2019) - [j1]Walid Shalaby, Wlodek Zadrozny:
Learning concept embeddings for dataless classification via efficient bag-of-concepts densification. Knowl. Inf. Syst. 61(2): 1047-1070 (2019) - 2018
- [c11]Walid Shalaby, Wlodek Zadrozny:
Toward an Interactive Patent Retrieval Framework based on Distributed Representations. SIGIR 2018: 957-960 - [i8]Walid Shalaby, BahaaEddin AlAila, Mohammed Korayem, Layla Pournajaf, Khalifeh AlJadda, Shannon Quinn, Wlodek Zadrozny:
Help Me Find a Job: A Graph-based Approach for Job Recommendation at Scale. CoRR abs/1801.00377 (2018) - [i7]Walid Shalaby, Wlodek Zadrozny, Hongxia Jin:
Beyond Word Embeddings: Learning Entity and Concept Representations from Large Scale Knowledge Bases. CoRR abs/1801.00388 (2018) - 2017
- [c10]Walid Ahmed Fouad Shalaby, Wlodek Zadrozny:
Semantic Representation Using Explicit Concept Space Models. AAAI 2017: 4983-4984 - [c9]Walid Shalaby, BahaaEddin AlAila, Mohammed Korayem, Layla Pournajaf, Khalifeh AlJadda, Shannon Quinn, Wlodek Zadrozny:
Help me find a job: A graph-based approach for job recommendation at scale. IEEE BigData 2017: 1544-1553 - [c8]Walid Shalaby, Wlodek Zadrozny:
Mined semantic analysis: A new concept space model for semantic representation of textual data. IEEE BigData 2017: 2122-2131 - [i6]Walid Shalaby, Wlodek Zadrozny:
Patent Retrieval: A Literature Review. CoRR abs/1701.00324 (2017) - [i5]Walid Shalaby, Wlodek Zadrozny:
Learning Concept Embeddings for Efficient Bag-of-Concepts Densification. CoRR abs/1702.03342 (2017) - 2016
- [c7]Walid Shalaby, Kripa Rajshekhar, Wlodek Zadrozny:
A Visual Semantic Framework for Innovation Analytics. AAAI 2016: 4389-4390 - [c6]Jianbo Yuan, Walid Shalaby, Mohammed Korayem, David Lin, Khalifeh AlJadda, Jiebo Luo:
Solving cold-start problem in large-scale recommendation engines: A deep learning approach. IEEE BigData 2016: 1901-1910 - [c5]Walid Shalaby, Khalifeh AlJadda, Mohammed Korayem, Trey Grainger:
Entity Type Recognition Using an Ensemble of Distributional Semantic Models to Enhance Query Understanding. COMPSAC 2016: 631-636 - [c4]Walid Shalaby, Wlodek Zadrozny:
Innovation Analytics Using Mined Semantic Analysis. FLAIRS 2016: 597-601 - [i4]Walid Shalaby, Khalifeh AlJadda, Mohammed Korayem, Trey Grainger:
Entity Type Recognition using an Ensemble of Distributional Semantic Models to Enhance Query Understanding. CoRR abs/1604.00933 (2016) - [i3]Jianbo Yuan, Walid Shalaby, Mohammed Korayem, David Lin, Khalifeh AlJadda, Jiebo Luo:
Solving Cold-Start Problem in Large-scale Recommendation Engines: A Deep Learning Approach. CoRR abs/1611.05480 (2016) - 2015
- [c3]Walid Ahmed Fouad Shalaby, Wlodek Zadrozny:
SustaInno: Toward a Searchable Repository of Sustainability Innovations. AAAI Workshop: AI for Cities 2015 - [c2]Wlodek Zadrozny, Sean Gallagher, Walid Shalaby, Adarsh Avadhani:
Simulating IBM Watson in the Classroom. SIGCSE 2015: 72-77 - [i2]Walid Shalaby, Wlodek Zadrozny:
Measuring Semantic Relatedness using Mined Semantic Analysis. CoRR abs/1512.03465 (2015) - 2014
- [c1]Walid Shalaby, Wlodek Zadrozny, Sean Gallagher:
Knowledge based dimensionality reduction for technical text mining. IEEE BigData 2014: 39-44 - [i1]Sean Gallagher, Wlodek Zadrozny, Walid Shalaby, Adarsh Avadhani:
Watsonsim: Overview of a Question Answering Engine. CoRR abs/1412.0879 (2014)
Coauthor Index
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