InstanceRank: A Framework for Predicting Ranksfor Instances and Its Application to Customers'' Webpage Click Log Mining

碩士 === 國立中興大學 === 資訊科學與工程學系 === 106 === In this thesis, we discuss the problem of ranking instances in a set. The goal is to associate each instance with a rank, which is an integer from 1 to k, where k is the number of instances in the given set. To address this problem, we propose a framework call...

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Bibliographic Details
Main Authors: Ching-Hsiang Wen, 温景翔
Other Authors: 范耀中
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/3335tk