Martin Dürst

Martin Dürst

Aoyama Gakuin University

H-index: 16

Asia-Japan

About Martin Dürst

Martin Dürst, With an exceptional h-index of 16 and a recent h-index of 6 (since 2020), a distinguished researcher at Aoyama Gakuin University, specializes in the field of Web Internationalization, Programming.

His recent articles reflect a diverse array of research interests and contributions to the field:

Generating Experiential Descriptions and Estimating Evidence Using Generative Language Model and User Products Reviews

BERT-Based Movie Keyword Search Leveraging User-Generated Movie Rankings and Reviews

Method of Loci in VR Web Search: Memory Retention Support by Organizing Search Results in a VR Room

Buy Eye-Mask Instead of Alarm Clock!: Graph-Based Approach to Identify Functionally Equal Alternative Products

Generating Fine-Grained Aspect Names from Movie Review Sentences Using Generative Language Model

Movie Keyword Search Using Large-Scale Language Model with User-Generated Rankings and Reviews

Slow, Repeat, Voice Guidance: Automatic Generation of Practice Charts to Improve Rhythm Action Games

Geographic Entity Retrieval for Finding Places Suitable for Certain Purposes by Using Relevance Graphs on Places and Reviews

Martin Dürst Information

University

Position

Professor

Citations(all)

1449

Citations(since 2020)

227

Cited By

1293

hIndex(all)

16

hIndex(since 2020)

6

i10Index(all)

21

i10Index(since 2020)

4

Email

University Profile Page

Aoyama Gakuin University

Google Scholar

View Google Scholar Profile

Martin Dürst Skills & Research Interests

Web Internationalization

Programming

Top articles of Martin Dürst

Title

Journal

Author(s)

Publication Date

Generating Experiential Descriptions and Estimating Evidence Using Generative Language Model and User Products Reviews

Shen Chenfu

Yoshiyuki Shoji

Takehiro Yamamoto

Katsumi Tanaka

Martin J Dürst

2024/2/18

BERT-Based Movie Keyword Search Leveraging User-Generated Movie Rankings and Reviews

Tensho Miyashita

Yoshiyuki Shoji

Sumio Fujita

Martin J Dürst

2024/2/18

Method of Loci in VR Web Search: Memory Retention Support by Organizing Search Results in a VR Room

Yumiho Takeuchi

Yoshiyuki Shoji

Martin J Dürst

2023/7/9

Buy Eye-Mask Instead of Alarm Clock!: Graph-Based Approach to Identify Functionally Equal Alternative Products

Tsukasa Hirano

Yoshiyuki Shoji

Takehiro Yamamoto

Martin J Dürst

2023

Generating Fine-Grained Aspect Names from Movie Review Sentences Using Generative Language Model

Tomohiro Ishii

Yoshiyuki Shoji

Takehiro Yamamoto

Hiroaki Ohshima

Sumio Fujita

...

2023/11/22

Movie Keyword Search Using Large-Scale Language Model with User-Generated Rankings and Reviews

Tensho Miyashita

Yoshiyuki Shoji

Sumio Fujita

Martin J Dürst

2023/11/22

Slow, Repeat, Voice Guidance: Automatic Generation of Practice Charts to Improve Rhythm Action Games

Shio Takidaira

Yoshiyuki Shoji

Martin J Dürst

2022/6/16

Geographic Entity Retrieval for Finding Places Suitable for Certain Purposes by Using Relevance Graphs on Places and Reviews

Journal of Data Intelligence

YOSHIYUKI SHOJI

MARTIN J DÜRST

2022

Doc2Vec-based Approach for Extracting Diverse Evaluation Expressions from Online Review Data

Kosuke Kurihara

Yoshiyuki Shoji

Sumio Fujita

Martin J Dürst

2021/11/29

Learning to rank-based approach for movie search by keyword query and example query

Kosuke Kurihara

Yoshiyuki Shoji

Sumio Fujita

Martin J Dürst

2021/11/29

How to Find a Place Suitable for “Guitar Practice”: Purpose-oriented Geographic Entity Retrieval by Using Online Review Graph Analysis

Yui Maekawa

Yoshiyuki Shoji

Martin J Dürst

2021/11/29

Location-based Reminder for Memorizing What Visitors Learn at a Museum.

Yoshiyuki Shoji

Kenro Aihara

Martin J Dürst

Noriko Kando

Takuya Nakaya

...

2021

What Makes a Review Encouraging: Feature Analysis of User Access Logs in a Large-scale Online Movie Review Site

Kakeru Ito

Yoshiyuki Shoji

Sumio Fujita

Martin J Dürst

2021/11/29

See List of Professors in Martin Dürst University(Aoyama Gakuin University)