Ito and Tanaka (2019) “Token-Curated Registry with Citation Graph”

Abstract: In this study, we aim to incorporate the expertise of anonymous curators into a token-curated registry (TCR), a decentralized recommender system for collecting a list of high-quality content. This registry is important, because previous studies on TCRs have not specifically focused on technical content, such as academic papers and patents, whose effective curation requires expertise in relevant fields. To measure expertise, curation in our model focuses on both the content and its citation relationships, for which curator assignment uses the Personalized PageRank (PPR) algorithm while reward computation uses a multi-task peer-prediction mechanism. Our proposed CitedTCR bridges the literature on network-based and token-based recommender systems and contributes to the autonomous development of an evolving citation graph for high-quality content. Moreover, we experimentally confirm the incentive for registration and curation in CitedTCR using the simplification of a one-to-one correspondence between users and content (nodes).

LEDGER, Vol.4. (pp. 191-209)

国際カンファレンスiiWAS2018にてBest Paper Awardを受賞しました

  1. 最近の論文がWeb工学の分野でBest Paper Awardを受賞した。
  2. 選択アルゴリズム+ピア予測法 の新たなメカニズムを提案した。
  3. 今後はこの研究をブロックチェーン周りの議論と接続させたい。
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「ピア予測法」はまさに分散型オラクル用のメカニズムデザインだ

  1. 分散型オラクルはスマートコントラクトを汎用化する。
  2. しかし既存の手法では適切な合意が得られない。
  3. ピア予測法はこの課題解決に大きく貢献するだろう。

Continue reading “「ピア予測法」はまさに分散型オラクル用のメカニズムデザインだ”