Qinyuan Su

dblp:242/5148 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 50% Web and social media mining · 50%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Smart cities and intelligent transportation · 100%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Web and social media mining
user-generated content
0.412019
PerRD: A System for Personalized Route Description · ICDE 2019
Smart cities and intelligent transportation › navigation
vehicle navigation
0.112019
PerRD: A System for Personalized Route Description · ICDE 2019

Methods — techniques the papers use, named apart from their topics

path optimization · 0.8
YearPublicationVenuePosition
2019 PerRD: A System for Personalized Route Description
abstract
Nowadays, mobile devices are already seen everywhere in life, which makes the application of vehicle navigation more and more widely. The traditional turn-by-turn navigation does the path planning just based on the characteristics of the roads themselves, and then gives mechanized steering instructions at each corner. For those roads people are familiar with in this route, path descriptions which provide detailed route description information, will become redundant and verbose. In this paper, we study a Personalized Route Description system dubbed PerRD - with which the goal is to generate more customized and intuitive route descriptions based on user generated content. The goal is to optimize a given route description with paths which users know well, which makes the route more consistent with users' driving habits, and to create a concise and meaningful route descriptions with POIs and street names.
Han Su 0001, Guanglin Cong, Wei Chen 0070, Qinyuan Su, Bolong Zheng, Kai Zheng 0001
ICDE4