Towards Visualization Recommendation Systems

被引：0

作者：

Vartak, Manasi ^{[1
]}

Huang, Silu ^{[2
]}

Siddiqui, Tarique ^{[2
]}

Madden, Samuel ^{[1
]}

Parameswaran, Aditya ^{[2
]}

机构：

[1] MIT, 77 Massachusetts Ave, Cambridge, MA 02139 USA

[2] Univ Illinois UIUC, Champaign, IL USA

来源：

SIGMOD RECORD | 2016年 / 45卷 / 04期

关键词：

INFORMATION VISUALIZATION; NEXT-GENERATION; SUPPORT;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Data visualization is often used as the first step while performing a variety of analytical tasks. With the advent of large, high-dimensional datasets and significant interest in data science, there is a need for tools that can support rapid visual analysis. In this paper we describe our vision for a new class of visualization systems, namely visualization recommendation systems, that can automatically identify and interactively recommend visualizations relevant to an analytical task. We detail the key requirements and design considerations for a visualization recommendation system. We also identify a number of challenges in realizing this vision and describe some approaches to address them.

引用

页码：34 / 39

页数：6

共 50 条

[1] The Application of Visualization Techniques in Recommendation Systems
Qian, Dong
Yang, Cheng
Li, Chen
[J]. 2015 8TH INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS (BMEI), 2015, : 656 - 660
[2] Towards a Rule-based Visualization Recommendation System
Chakrabarti, Arnab
Ahmad, Farhad
Quix, Christoph
[J]. PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT (KDIR), VOL 1:, 2021, : 57 - 68
[3] Overview and Investigation of the visualization Methods in recommendation systems
He Huaiqing
Du Hongrui
Liu Haohan
[J]. 2016 8TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS (CICN), 2016, : 601 - 605
[4] Rising Fascination Towards Exploration of Recommendation Systems
Agrawal, Shreya
Jain, Pooja
[J]. PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES (ICACCCT), 2016, : 766 - 771
[5] Towards Semantic Improvement of Marketing Recommendation Systems
Paweloszek, Ilona
[J]. EDUCATION EXCELLENCE AND INNOVATION MANAGEMENT: A 2025 VISION TO SUSTAIN ECONOMIC DEVELOPMENT DURING GLOBAL CHALLENGES, 2020, : 11958 - 11968
[6] Towards More Accurate and Intelligent Recommendation Systems
Kahara, Timo
Haataja, Keijo
Toivanen, Pekka
[J]. 2013 13TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS (ISDA), 2013, : 165 - 171
[7] Personalized Visualization Recommendation
Qian, Xin
Rossi, Ryan A.
Du, Fan
Kim, Sungchul
Koh, Eunyee
Malik, Sana
Lee, Tak Yeon
Ahmed, Nesreen K.
[J]. ACM TRANSACTIONS ON THE WEB, 2022, 16 (03)
[8] Towards trace visualization and exploration for reactive systems
Maoz, Shahar
Kleinbort, Asaf
Harel, David
[J]. VL/HCC 2007: IEEE SYMPOSIUM ON VISUAL LANGUAGES AND HUMAN-CENTRIC COMPUTING, PROCEEDINGS, 2007, : 153 - +
[9] Towards latent context-aware recommendation systems
Unger, Moshe
Bar, Ariel
Shapira, Bracha
Rokach, Lior
[J]. KNOWLEDGE-BASED SYSTEMS, 2016, 104 : 165 - 178
[10] TOWARDS A RECOMMENDATION SYSTEM FOR AN EDUCATIONAL PROFILE IN SYSTEMS ENGINEERING
Opranescu, Veronica
Ionita, Anca Daniela
[J]. UPB Scientific Bulletin, Series C: Electrical Engineering and Computer Science, 2024, 86 (01): : 19 - 30

← 1 2 3 4 5 →