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08/21/2020
COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-commerce
In this work, we present a new dataset for conversational recommendation...
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08/20/2020
Neural Logic Reasoning
Recent years have witnessed the success of deep neural networks in many ...
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08/19/2020
E-commerce Recommendation with Weighted Expected Utility
Different from shopping at retail stores, consumers on e-commerce platfo...
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07/26/2020
Neural-Symbolic Reasoning over Knowledge Graph for Multi-stage Explainable Recommendation
Recent work on recommender systems has considered external knowledge gra...
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07/06/2020
Learning Personalized Risk Preferences for Recommendation
The rapid growth of e-commerce has made people accustomed to shopping on...
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07/06/2020
Understanding Echo Chambers in E-commerce Recommender Systems
Personalized recommendation benefits users in accessing contents of inte...
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06/30/2020
Learning Post-Hoc Causal Explanations for Recommendation
State-of-the-art recommender systems have the ability to generate high-q...
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06/03/2020
Fairness-Aware Explainable Recommendation over Knowledge Graphs
There has been growing attention on fairness considerations recently, es...
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05/16/2020
Neural Collaborative Reasoning
Collaborative Filtering (CF) has been an important approach to recommend...
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02/03/2020
IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems
Personal assistant systems, such as Apple Siri, Google Assistant, Amazon...
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10/17/2019
Neural Logic Networks
Recent years have witnessed the great success of deep neural networks in...
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10/16/2019
Similarity Driven Approximation for Text Analytics
Text analytics has become an important part of business intelligence as ...
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09/16/2019
Explainable Product Search with a Dynamic Relation Embedding Model
Product search is one of the most popular methods for customers to disco...
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09/04/2019
Conversational Product Search Based on Negative Feedback
Intelligent assistants change the way people interact with computers and...
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08/26/2019
Attentive History Selection for Conversational Question Answering
Conversational question answering (ConvQA) is a simplified but concrete ...
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06/12/2019
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
Recent advances in personalized recommendation have sparked great intere...
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05/14/2019
BERT with History Answer Embedding for Conversational Question Answering
Conversational search is an emerging topic in the information retrieval ...
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04/29/2019
Relational Collaborative Filtering:Modeling Multiple Item Relations for Recommendation
Existing item-based collaborative filtering (ICF) methods leverage only ...
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04/15/2019
Personalized Context-aware Re-ranking for E-commerce Recommender Systems
Ranking is a core task in E-commerce recommender systems, which aims at ...
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02/03/2019
Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems
Existing recommendation algorithms mostly focus on optimizing traditiona...
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01/11/2019
Answer Interaction in Non-factoid Question Answering Systems
Information retrieval systems are evolving from document retrieval to an...
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01/11/2019
User Intent Prediction in Information-seeking Conversations
Conversational assistants are being progressively adopted by the general...
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11/11/2018
Attentive Aspect Modeling for Review-aware Recommendation
In recent years, many studies extract aspects from user reviews and inte...
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05/09/2018
Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation
Providing model-generated explanations in recommender systems is importa...
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05/01/2018
Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems
Intelligent personal assistant systems with either text-based or voice-b...
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04/30/2018
Explainable Recommendation: A Survey and New Perspectives
Explainable Recommendation refers to the personalized recommendation alg...
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04/23/2018
Analyzing and Characterizing User Intent in Information-seeking Conversations
Understanding and characterizing how people interact in information-seek...
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03/17/2018
Learning over Knowledge-Base Embeddings for Recommendation
State-of-the-art recommendation algorithms -- especially the collaborati...
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01/31/2018
Visually Explainable Recommendation
Images account for a significant part of user decisions in many applicat...
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08/21/2017
Explainable Recommendation: Theory and Applications
Although personalized recommendation has been investigated for decades, ...
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02/11/2015
