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Collaborative infomediaries and the measuring factors that influence the success of infomediary.

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.1 / Chapter 1.1 --- Collaborative Infomediaries --- p.1 / Chapter 1.2 --- Measuring Factors that Influence the Success of Infomediary --- p.3 / Chapter 1.3 --- Thesis Contributions --- p.5 / Chapter 1.4 --- Thesis Organization --- p.7 / Chapter 2 --- Related Work on Collaborative Infomediary --- p.8 / Chapter 2.1 --- RECOMMENDER SYSTEM - Infomediary --- p.8 / Chapter 2.1.1 --- Utility-based recommenders --- p.9 / Chapter 2.1.2 --- Knowledge-based recommenders --- p.10 / Chapter 2.1.3 --- Content-based recommenders --- p.11 / Chapter 2.1.4 --- Collaborative recommenders --- p.12 / Chapter 2.1.5 --- Hybrid recommenders --- p.14 / Chapter 2.2 --- Types of Collaborative Filtering --- p.15 / Chapter 2.2.1 --- Memory-based methods --- p.15 / Chapter 2.2.2 --- Model-based methods --- p.16 / Chapter 2.3 --- Similarity Measures --- p.16 / Chapter 2.4 --- Prediction algorithm --- p.19 / Chapter 2.5 --- User Profile --- p.20 / Chapter 2.6 --- Relevance Feedback --- p.21 / Chapter 2.7 --- Comparison basis for user similarity --- p.22 / Chapter 3 --- Research Methodology --- p.23 / Chapter 3.1 --- Collaborative Infomediary System Design --- p.24 / Chapter 3.1.1 --- System Functionalities --- p.24 / Chapter 3.1.2 --- Overview of System Design --- p.24 / Chapter 3.2 --- User Profile --- p.26 / Chapter 3.2.1 --- Sources of news articles --- p.27 / Chapter 3.2.2 --- Regions of news --- p.27 / Chapter 3.2.3 --- Categories of Industries --- p.28 / Chapter 3.2.4 --- Listed Companies --- p.29 / Chapter 3.2.5 --- User-specified Keywords --- p.30 / Chapter 3.2.6 --- User Profile Scoring (Scoreprofile) --- p.30 / Chapter 3.3 --- User Feedback --- p.31 / Chapter 3.3.1 --- Scoring formulation for feedback (Score feedback) --- p.31 / Chapter 3.4 --- User Similarity --- p.33 / Chapter 3.4.1 --- Source --- p.34 / Chapter 3.4.2 --- Regions of news --- p.35 / Chapter 3.4.3 --- Category of Industries --- p.35 / Chapter 3.4.4 --- Listed companies in Hong Kong stock market and Userspecified Keywords --- p.36 / Chapter 3.4.5 --- Overall Similarity --- p.36 / Chapter 3.5 --- News Article Scoring --- p.37 / Chapter 3.6 --- User Interface of Collaborative Infomediary --- p.38 / Chapter 3.6.1 --- User Registration and Preference Setting --- p.38 / Chapter 3.6.2 --- Current Day News Retrieval --- p.42 / Chapter 3.6.3 --- Past News Retrieval --- p.46 / Chapter 3.6.4 --- Search News --- p.47 / Chapter 4 --- Evaluation Methodology & Experimental Results --- p.50 / Chapter 4.1 --- Experimental Design & Setup --- p.51 / Chapter 4.1.1 --- Performance Measures --- p.53 / Chapter 4.2 --- Experiment Results & Discussions --- p.54 / Chapter 4.2.1 --- Similarity Threshold against average number of collaborators --- p.54 / Chapter 4.2.2 --- Performance Measures among setups --- p.55 / Chapter 4.2.3 --- Performance Measures against Similarity Threshold --- p.59 / Chapter 5 --- Related work on the Measuring Factors that Influence the Success of Infomediary --- p.64 / Chapter 5.1 --- Different approaches to IS success measurement --- p.64 / Chapter 5.2 --- User Information Satisfaction/End-User Computing Satisfaction --- p.66 / Chapter 5.2.1 --- Definition of user satisfaction --- p.66 / Chapter 5.2.2 --- Factors/dimensions affecting IS user satisfaction --- p.67 / Chapter 5.3 --- Evaluation of Web-site --- p.69 / Chapter 5.4 --- Web Customer Satisfaction --- p.70 / Chapter 5.4.1 --- Customer satisfaction --- p.71 / Chapter 5.4.2 --- Factors/Dimensions affecting customer information satisfaction --- p.72 / Chapter 6 --- Research Methodology --- p.78 / Chapter 6.1 --- Methodological Approach --- p.78 / Chapter 6.2 --- Construct Definition and Item Pool Generation --- p.79 / Chapter 6.2.1 --- Customer Values on Infomediary --- p.79 / Chapter 6.2.2 --- Means Objectives and Fundamental Objectives --- p.80 / Chapter 6.3 --- Relationships between Customer Values --- p.85 / Chapter 6.4 --- Survey Instrument --- p.86 / Chapter 6.4.1 --- Task File --- p.87 / Chapter 6.4.2 --- Questionnaire: Demographic Variables and Measures . --- p.87 / Chapter 6.4.3 --- Sample Description and Survey Administration --- p.88 / Chapter 7 --- Data Analysis and Results --- p.90 / Chapter 7.1 --- DATA ANALYSIS APPROACH --- p.90 / Chapter 7.1.1 --- Purification --- p.90 / Chapter 7.1.2 --- Identification of Factor Structure --- p.92 / Chapter 7.1.3 --- Construct validity --- p.97 / Chapter 7.2 --- RESEARCH FINDINGS --- p.98 / Chapter 7.2.1 --- Descriptive statistics --- p.98 / Chapter 7.2.2 --- Purification- Means Objectives --- p.99 / Chapter 7.2.3 --- Factor Structure Identification- Means Objectives --- p.99 / Chapter 7.2.4 --- Construct validity- Means Objectives --- p.104 / Chapter 7.2.5 --- Purification- Fundamental Objectives --- p.104 / Chapter 7.2.6 --- Factor Structure Identification- Fundamental Objectives --- p.105 / Chapter 7.2.7 --- Construct validity- Fundamental Objectives --- p.107 / Chapter 7.2.8 --- A Model for Measuring factors that Influence Infomediary Success --- p.108 / Chapter 8 --- Conclusions and Future Work --- p.109 / Chapter 8.1 --- "Implications, Limitations and Future Work - Collaborative Infomediary" --- p.109 / Chapter 8.2 --- "Implications, Limitations and Future Work - Infomediary Success Factors" --- p.110 / Chapter 8.3 --- Conclusions --- p.112 / Bibliography --- p.113 / Chapter A --- Means Objectives Fundamental Objectives --- p.121 / Chapter A.1 --- List of Means Objectives & Fundamental Objectives --- p.121 / Chapter B --- Statistical Results for Collaborative Infomediary Experiment --- p.129 / Chapter C --- Statistical Results for Measuring Factors that influence success of Infomediary --- p.136 / Chapter D --- Survey Task File Questionnaire --- p.152 / Chapter E --- Tutorial Guide for experiment on Collaborative Infomediary --- p.170

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_324603
Date January 2004
ContributorsWong, Wai-Yiu., Chinese University of Hong Kong Graduate School. Division of Systems Engineering and Engineering Management.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography
Formatprint, xiii, 192 leaves : ill. (some col.) ; 30 cm.
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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