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