activity
20132019
most citedAnswering Complex Questions by Joining Multi-Document Evidence with Quasi Knowledge Graphs

43 citations · 46 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2019★ 1 cited

Which Channel to Ask My Question? Personalized Customer Service Request Stream Routing using Deep Reinforcement Learning

Zining Liu, Chong Long, Xiaolu Lu +3

Customer services are critical to all companies, as they may directly connect to the brand reputation. Due to a great number of customers, e-commerce companies often employ multipl…

cs.IR2019★ 43 cited

Answering Complex Questions by Joining Multi-Document Evidence with Quasi Knowledge Graphs

Xiaolu Lu, Soumajit Pramanik, Rishiraj Saha Roy +3

Direct answering of questions that involve multiple entities and relations is a challenge for text-based QA. This problem is most pronounced when answers can be found only by joini…

cs.IR2019★ 1 cited

Online Social Media Recommendation over Streams

Xiangmin Zhou, Dong Qin, Xiaolu Lu +2

As one of the most popular services over online communities, the social recommendation has attracted increasing research efforts recently. Among all the recommendation tasks, an im…

cs.DB2014

A 2D based Partition Strategy for Solving Ranking under Team Context (RTP)

Xiaolu Lu, Dongxu Li, Xiang Li +1

In this paper, we propose a 2D based partition method for solving the problem of Ranking under Team Context(RTC) on datasets without a priori. We first map the data into 2D space u…

cs.DB2013★ 1 cited

Object Selection under Team Context

Xiaolu Lu, Dongxu Li, Xiang Li +1

Context-aware database has drawn increasing attention from both industry and academia recently by taking users' current situation and environment into consideration. However, most…