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09/12/2023
Hierarchical Multi-Task Learning Framework for Session-based Recommendations
While session-based recommender systems (SBRSs) have shown superior reco...
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09/23/2022
M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations
Session-based recommender systems (SBRSs) have shown superior performanc...
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12/31/2019
Building chatbots from large scale domain-specific knowledge bases: challenges and opportunities
Popular conversational agents frameworks such as Alexa Skills Kit (ASK) ...
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01/01/2018
Beyond Word Embeddings: Learning Entity and Concept Representations from Large Scale Knowledge Bases
Text representation using neural word embeddings has proven efficacy in ...
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01/01/2018
Help Me Find a Job: A Graph-based Approach for Job Recommendation at Scale
Online job boards are one of the central components of modern recruitmen...
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02/10/2017
Learning Concept Embeddings for Efficient Bag-of-Concepts Densification
Explicit concept space models have proven efficacy for text representati...
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04/04/2016
Entity Type Recognition using an Ensemble of Distributional Semantic Models to Enhance Query Understanding
We present an ensemble approach for categorizing search query entities i...
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12/10/2015
Measuring Semantic Relatedness using Mined Semantic Analysis
Mined Semantic Analysis (MSA) is a novel concept space model which emplo...
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12/02/2014