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thesis
Collaborative infomediaries and the measuring factors that influence the success of infomediary.
Authors
Publication date
1 January 2004
Publisher
Abstract
Wong Wai-Yiu.Thesis (M.Phil.)--Chinese University of Hong Kong, 2004.Includes bibliographical references (leaves 113-120).Abstracts in English and Chinese.Chapter 1 --- Introduction and Outline of the Dissertation --- p.1Chapter 1.1 --- Collaborative Infomediaries --- p.1Chapter 1.2 --- Measuring Factors that Influence the Success of Infomediary --- p.3Chapter 1.3 --- Thesis Contributions --- p.5Chapter 1.4 --- Thesis Organization --- p.7Chapter 2 --- Related Work on Collaborative Infomediary --- p.8Chapter 2.1 --- RECOMMENDER SYSTEM - Infomediary --- p.8Chapter 2.1.1 --- Utility-based recommenders --- p.9Chapter 2.1.2 --- Knowledge-based recommenders --- p.10Chapter 2.1.3 --- Content-based recommenders --- p.11Chapter 2.1.4 --- Collaborative recommenders --- p.12Chapter 2.1.5 --- Hybrid recommenders --- p.14Chapter 2.2 --- Types of Collaborative Filtering --- p.15Chapter 2.2.1 --- Memory-based methods --- p.15Chapter 2.2.2 --- Model-based methods --- p.16Chapter 2.3 --- Similarity Measures --- p.16Chapter 2.4 --- Prediction algorithm --- p.19Chapter 2.5 --- User Profile --- p.20Chapter 2.6 --- Relevance Feedback --- p.21Chapter 2.7 --- Comparison basis for user similarity --- p.22Chapter 3 --- Research Methodology --- p.23Chapter 3.1 --- Collaborative Infomediary System Design --- p.24Chapter 3.1.1 --- System Functionalities --- p.24Chapter 3.1.2 --- Overview of System Design --- p.24Chapter 3.2 --- User Profile --- p.26Chapter 3.2.1 --- Sources of news articles --- p.27Chapter 3.2.2 --- Regions of news --- p.27Chapter 3.2.3 --- Categories of Industries --- p.28Chapter 3.2.4 --- Listed Companies --- p.29Chapter 3.2.5 --- User-specified Keywords --- p.30Chapter 3.2.6 --- User Profile Scoring (Scoreprofile) --- p.30Chapter 3.3 --- User Feedback --- p.31Chapter 3.3.1 --- Scoring formulation for feedback (Score feedback) --- p.31Chapter 3.4 --- User Similarity --- p.33Chapter 3.4.1 --- Source --- p.34Chapter 3.4.2 --- Regions of news --- p.35Chapter 3.4.3 --- Category of Industries --- p.35Chapter 3.4.4 --- Listed companies in Hong Kong stock market and Userspecified Keywords --- p.36Chapter 3.4.5 --- Overall Similarity --- p.36Chapter 3.5 --- News Article Scoring --- p.37Chapter 3.6 --- User Interface of Collaborative Infomediary --- p.38Chapter 3.6.1 --- User Registration and Preference Setting --- p.38Chapter 3.6.2 --- Current Day News Retrieval --- p.42Chapter 3.6.3 --- Past News Retrieval --- p.46Chapter 3.6.4 --- Search News --- p.47Chapter 4 --- Evaluation Methodology & Experimental Results --- p.50Chapter 4.1 --- Experimental Design & Setup --- p.51Chapter 4.1.1 --- Performance Measures --- p.53Chapter 4.2 --- Experiment Results & Discussions --- p.54Chapter 4.2.1 --- Similarity Threshold against average number of collaborators --- p.54Chapter 4.2.2 --- Performance Measures among setups --- p.55Chapter 4.2.3 --- Performance Measures against Similarity Threshold --- p.59Chapter 5 --- Related work on the Measuring Factors that Influence the Success of Infomediary --- p.64Chapter 5.1 --- Different approaches to IS success measurement --- p.64Chapter 5.2 --- User Information Satisfaction/End-User Computing Satisfaction --- p.66Chapter 5.2.1 --- Definition of user satisfaction --- p.66Chapter 5.2.2 --- Factors/dimensions affecting IS user satisfaction --- p.67Chapter 5.3 --- Evaluation of Web-site --- p.69Chapter 5.4 --- Web Customer Satisfaction --- p.70Chapter 5.4.1 --- Customer satisfaction --- p.71Chapter 5.4.2 --- Factors/Dimensions affecting customer information satisfaction --- p.72Chapter 6 --- Research Methodology --- p.78Chapter 6.1 --- Methodological Approach --- p.78Chapter 6.2 --- Construct Definition and Item Pool Generation --- p.79Chapter 6.2.1 --- Customer Values on Infomediary --- p.79Chapter 6.2.2 --- Means Objectives and Fundamental Objectives --- p.80Chapter 6.3 --- Relationships between Customer Values --- p.85Chapter 6.4 --- Survey Instrument --- p.86Chapter 6.4.1 --- Task File --- p.87Chapter 6.4.2 --- Questionnaire: Demographic Variables and Measures . --- p.87Chapter 6.4.3 --- Sample Description and Survey Administration --- p.88Chapter 7 --- Data Analysis and Results --- p.90Chapter 7.1 --- DATA ANALYSIS APPROACH --- p.90Chapter 7.1.1 --- Purification --- p.90Chapter 7.1.2 --- Identification of Factor Structure --- p.92Chapter 7.1.3 --- Construct validity --- p.97Chapter 7.2 --- RESEARCH FINDINGS --- p.98Chapter 7.2.1 --- Descriptive statistics --- p.98Chapter 7.2.2 --- Purification- Means Objectives --- p.99Chapter 7.2.3 --- Factor Structure Identification- Means Objectives --- p.99Chapter 7.2.4 --- Construct validity- Means Objectives --- p.104Chapter 7.2.5 --- Purification- Fundamental Objectives --- p.104Chapter 7.2.6 --- Factor Structure Identification- Fundamental Objectives --- p.105Chapter 7.2.7 --- Construct validity- Fundamental Objectives --- p.107Chapter 7.2.8 --- A Model for Measuring factors that Influence Infomediary Success --- p.108Chapter 8 --- Conclusions and Future Work --- p.109Chapter 8.1 --- "Implications, Limitations and Future Work - Collaborative Infomediary" --- p.109Chapter 8.2 --- "Implications, Limitations and Future Work - Infomediary Success Factors" --- p.110Chapter 8.3 --- Conclusions --- p.112Bibliography --- p.113Chapter A --- Means Objectives Fundamental Objectives --- p.121Chapter A.1 --- List of Means Objectives & Fundamental Objectives --- p.121Chapter B --- Statistical Results for Collaborative Infomediary Experiment --- p.129Chapter C --- Statistical Results for Measuring Factors that influence success of Infomediary --- p.136Chapter D --- Survey Task File Questionnaire --- p.152Chapter E --- Tutorial Guide for experiment on Collaborative Infomediary --- p.17
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