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researcher

Mitsuo Yoshida

University of Tsukuba

34 papers hereh-index 9382 citations97 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author26
  • last author4

Across the 33 of 34 papers where every author was matched, so the position is known.

fields
  • cs.SI14
  • cs.CY5
  • cs.CL3
  • cs.DS2
  • cs.IR2
  • cs.IT2
affiliations
  • University of Tsukuba
same name
  • Mitsuo Yoshida — 6 papers, h 0
  • Mitsuo Yoshida — 3 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152026
most citedWikipedia Page View Reflects Web Search Trend

29 citations · 131 across the 34 of their papers we have counts for

collaborators
Showing 2019 · cs.CYShow all

4 papers · 2 filters

cs.CY2019★ 1 cited

Usefulness of Instructor Annotations on Flipped Learning Preparation Video System

Shintaro Uchiyama, Hayato Okumoto, Mitsuo Yoshida +2

Flipped learning is a method that flips in/out class activities to make lectures learner-centered. In flipped learning, comments from learners on preparation material are useful in…

cs.CY2019

Analysis of Bias in Gathering Information Between User Attributes in News Application

Yoshifumi Seki, Mitsuo Yoshida

In the process of information gathering on the web, confirmation bias is known to exist, exemplified in phenomena such as echo chambers and filter bubbles. Our purpose is to reveal…

cs.CY2019★ 7 cited

Analysis of User Dwell Time by Category in News Application

Yoshifumi Seki, Mitsuo Yoshida

Dwell time indicates how long a user looked at a page, and this is used especially in fields where ratings from users such as search engines, recommender systems, and advertisement…

cs.CY2019

Analysis of the Influence of Internet TV Station on Wikipedia Page Views

Hiroshi Hayano, Masanori Takano, Soichiro Morishita +2

We aim to investigate the influence of television on the web; if the influence is strong, a viral effect may be expected. In this paper, we focus on the Internet TV station and on…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.