诺库维普

Identifying Challenges and Opportunities in Human–AI Collaboration in Healthcare 2019-12-02 10:14:39

The proposed workshop will identify research questions that will enable the field to uncover the types of work, labor relations, and social impacts that should be considered when designing AIbased healthcare technology. The workshop aims to outline key challenges, guidelines, and future agendas for ... || CSCW; Healthcare...

Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System 2019-11-29 10:57:55

Transportation recommendation is one important map service in navigation applications. Previous transportation recommendation solutions fail to deliver satisfactory user experience because their recommendations only consider routes in one transportation mode (uni-modal, e.g., taxi, bus, cycle) and l... || Transportation recommendation; context-aware; personalized; feature engineering; deployment; POI 特征工程; || Hao Liu; Hui Xiong...

Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network 2019-11-28 09:39:11

Taxi and sharing bike bring great convenience to urban transportation. A lot of efforts have been made to improve the efficiency of taxi service or bike sharing system by predicting the next-period pick-up or drop-off demand. Different from the existing research, this paper is motivated by the follo... || Demand Prediction, Spatio-Temporal Analysis, Sharing Economy, Deep Neural Network; || Junchen Ye; Hui Xiong...

A Collaborative Learning Framework to Tag Refinement for Points of Interest 2019-11-22 21:17:09

Tags of a Point of Interest (POI) can facilitate location-based services from many aspects like location search and place recommendation. However, many POI tags are often incomplete or imprecise, which may lead to performance degradation of tag-dependent applications. In this paper, we study the POI... || Tag refinement ; || Jingbo Zhou; Hui Xiong...

Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability 2019-11-22 15:27:14

Recent years have witnessed growing interests in developing deep models for incremental learning. However, existing approaches often utilize the fixed structure and online backpropagation for deep model optimization, which is difficult to be implemented for incremental data scenarios. Indeed, for st... || 增量学习；在线学习； fisher information matrix；对之前学好的模型参数建模，从而保存之前的信息; || Yang Yang; Hui Xiong...

A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction 2019-11-21 09:32:58

The understanding of job mobility can benefit talent management operations in a number of ways, such as talent recruitment, talent development, and talent retention. While there is extensive literature showing the predictability of the organization-level job mobility patterns (e.g., in terms of the ... ; || Qingxin Meng; Hui Xiong...

Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling 2019-11-15 21:11:53

Sequential recommendation task aims to predict user preference over items in the future given user historical behaviors. The order of user behaviors implies that there are resourceful sequential patterns embedded in the behavior history which reveal the underlying dynamics of user interests. Various... || Sequential Recommendation, Collaborative Filtering, Co-Attention; GRU; || Jiarui Qin; Kan Ren...

WWW 23

Austin, Texas, USA,

AAAI 23

Washington, DC, USA,

SIGIR2022

Madrid, Spain, July 11th to 15th, 2022

WSDM2023

TBD,

IJCAI2022

Austria, July 23-29, 2022