Few Algorithms for ascertaining merit of a document and their applications

TL;DR

This paper introduces three novel algorithms for objectively assessing the merit of documents, moving beyond traditional prestige-based ranking models, with potential applications in various information retrieval contexts.

Contribution

The paper proposes three new algorithms—Citation graph maxflow, Recursive Gloss Overlap, and Interview algorithm—for evaluating document merit independently of prestige.

Findings

Citation graph maxflow effectively measures influence.

Recursive Gloss Overlap captures intrinsic content quality.

Interview algorithm provides an alternative merit assessment method.

Abstract

Existing models for ranking documents(mostly in world wide web) are prestige based. In this article, three algorithms to objectively judge the merit of a document are proposed - 1) Citation graph maxflow 2) Recursive Gloss Overlap based intrinsic merit scoring and 3) Interview algorithm. A short discussion on generic judgement and its mathematical treatment is presented in introduction to motivate these algorithms.