In this work, we present a new dataset for conversational recommendation...
Recent years have witnessed the success of deep neural networks in many
...
Different from shopping at retail stores, consumers on e-commerce platfo...
Recent work on recommender systems has considered external knowledge gra...
The rapid growth of e-commerce has made people accustomed to shopping on...
Personalized recommendation benefits users in accessing contents of inte...
State-of-the-art recommender systems have the ability to generate
high-q...
There has been growing attention on fairness considerations recently,
es...
Collaborative Filtering (CF) has been an important approach to recommend...
Personal assistant systems, such as Apple Siri, Google Assistant, Amazon...
Recent years have witnessed the great success of deep neural networks in...
Text analytics has become an important part of business intelligence as
...
Product search is one of the most popular methods for customers to disco...
Intelligent assistants change the way people interact with computers and...
Conversational question answering (ConvQA) is a simplified but concrete
...
Recent advances in personalized recommendation have sparked great intere...
Conversational search is an emerging topic in the information retrieval
...
Existing item-based collaborative filtering (ICF) methods leverage only ...
Ranking is a core task in E-commerce recommender systems, which aims at
...
Existing recommendation algorithms mostly focus on optimizing traditiona...
Information retrieval systems are evolving from document retrieval to an...
Conversational assistants are being progressively adopted by the general...
In recent years, many studies extract aspects from user reviews and inte...
Providing model-generated explanations in recommender systems is importa...
Intelligent personal assistant systems with either text-based or voice-b...
Explainable Recommendation refers to the personalized recommendation
alg...
Understanding and characterizing how people interact in information-seek...
State-of-the-art recommendation algorithms -- especially the collaborati...
Images account for a significant part of user decisions in many applicat...
Although personalized recommendation has been investigated for decades, ...
Sentiment analysis on user reviews helps to keep track of user reactions...