期刊： ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2021; 39 (2)
User intention is an important factor to be considered for recommender systems, which always changes dynamically in different contexts. Recent studies......
期刊： ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2021; 39 (2)
In e-commerce portals, generating answers for product-related questions has become a crucial task. In this article, we focus on the task of product-aw......
期刊： ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2021; 39 (2)
Stickers with vivid and engaging expressions are becoming increasingly popular in online messaging apps, and some works are dedicated to automatically......
期刊： ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2020; 39 (1)
Stance detection on social media aims to identify the stance of social media users toward a topic or claim, which can provide powerful information for......
期刊： ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2020; 39 (1)
Neural networks have been extensively used in recommender systems. Embedding layers are not only necessary but also crucial for neural models in recom......
期刊： ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2020; 39 (1)
With the large quantity of textual information produced on the Internet, a critical necessity is to filter out the irrelevant information and organize......
期刊： ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2020; 39 (1)
Open-domain generative dialogue systems have attracted considerable attention over the past few years. Currently, how to automatically evaluate them i......
期刊： ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2020; 39 (1)
In the field of sequential recommendation, deep learning-(DL) based methods have received a lot of attention in the past few years and surpassed tradi......
期刊： ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2020; 39 (1)
Understanding user preference is of key importance for an effective recommender system. For comprehensive user profiling, many efforts have been devot......
期刊： ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2020; 38 (1)
"Unbiasedness," which is an important property to ensure that users' ratings indeed reflect their true evaluations of products, is vital both in shapi......
期刊： ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2020; 38 (1)
The paper-reviewer recommendation task is of significant academic importance for conference chairs and journal editors. It aims to recommend appropria......
期刊： ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2020; 38 (1)
Exploiting temporal effect has empirically been recognized as a promising way to improve recommendation performance in recent years. In real-world app......
期刊： ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2020; 38 (1)
The field of conversation generation using neural networks has attracted increasing attention from researchers for several years. However, traditional......
期刊： ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2020; 38 (1)
News recommendation has become an essential way to help readers discover interesting stories. While a growing line of research has focused on modeling......
期刊： ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2020; 38 (1)
Most existing recommender systems leverage the primary feedback only, despite the fact that users also generate a large amount of auxiliary feedback. ......
