… The objective of this paper is to analyze some ranking methods in these two-sided settings
… A ranking method assigns scores to the members of each side based on these mutual …

… measures provide different rankings, we calculated the correlation between the rankings
yielded by different measures. The most popular procedures used to compare rankings are the …

We introduce an information-theoretic loss function, RankMI, and an associated training
algorithm for deep representation learning for image retrieval. Our proposed framework consists …

… Mutual influence based ranking algorithm (MuInf) This section introduces the mutual influence
based ranking of authors. It is believed that an author who co-authors with eminent authors…

… Rank (Mutual Influence based Ranking algorithm), which is calculated via a series of experiments.
First, we calculate Mutual … citations with respect to the mutual influence of authors. It is …

… have similar rankings, … mutual fund ranking and selection. As a consequence, we argue that
the use of several performance measures and rankings have a positive impact on the mutual …

… propose a new ranking framework, MutualRank, which employs mutual reinforcement rela…
reasonable ranking of papers, authors and venues simultaneously. The intuition of mutual rein…

… that a scientific mutual fund ranking method should have the following six good characteristics:
(a) it should be a comprehensive ranking method which can reflect different mutual fund …

… This study finds that mutual funds with rankings from Barron’s, Business Week, and Forbes
do not outperform their peers in the post-ranking period. The results do not support the “hot-…

… ranking along with his own contribution. We propose mutual influence (MI) based ranking
method, which ranks … proposed approach has capability to ranks authors in a significant way. …