The Experts below are selected from a list of 1599 Experts worldwide ranked by ideXlab platform
Yu Hu Feng - One of the best experts on this subject based on the ideXlab platform.
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The design and application of the Online Bookstore system .Net based on three tier architecture
2015 10th International Conference on Information Communications and Signal Processing (ICICS), 2015Co-Authors: Qiao Li Chen, Yu Hu FengAbstract:This paper on the. Net platform three layer architecture of Online Bookstore system design process were research and exploration, and the second layer architecture comparison of advantages and disadvantages. Three layer architecture thought take the strategy of "divide and conquer", the separation of system design key points of each to a separate layer implementation, and through mutual cooperation to complete each layer between the overall function.
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ICICS - The design and application of the Online Bookstore system .Net based on three tier architecture
2015 10th International Conference on Information Communications and Signal Processing (ICICS), 2015Co-Authors: Qiao Li Chen, Yu Hu FengAbstract:This paper on the. Net platform three layer architecture of Online Bookstore system design process were research and exploration, and the second layer architecture comparison of advantages and disadvantages. Three layer architecture thought take the strategy of "divide and conquer", the separation of system design key points of each to a separate layer implementation, and through mutual cooperation to complete each layer between the overall function.
Qiao Li Chen - One of the best experts on this subject based on the ideXlab platform.
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The design and application of the Online Bookstore system .Net based on three tier architecture
2015 10th International Conference on Information Communications and Signal Processing (ICICS), 2015Co-Authors: Qiao Li Chen, Yu Hu FengAbstract:This paper on the. Net platform three layer architecture of Online Bookstore system design process were research and exploration, and the second layer architecture comparison of advantages and disadvantages. Three layer architecture thought take the strategy of "divide and conquer", the separation of system design key points of each to a separate layer implementation, and through mutual cooperation to complete each layer between the overall function.
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ICICS - The design and application of the Online Bookstore system .Net based on three tier architecture
2015 10th International Conference on Information Communications and Signal Processing (ICICS), 2015Co-Authors: Qiao Li Chen, Yu Hu FengAbstract:This paper on the. Net platform three layer architecture of Online Bookstore system design process were research and exploration, and the second layer architecture comparison of advantages and disadvantages. Three layer architecture thought take the strategy of "divide and conquer", the separation of system design key points of each to a separate layer implementation, and through mutual cooperation to complete each layer between the overall function.
Ming-hsiung Hsiao - One of the best experts on this subject based on the ideXlab platform.
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Shopping mode choice: Physical store shopping versus e-shopping
Transportation Research Part E: Logistics and Transportation Review, 2009Co-Authors: Ming-hsiung HsiaoAbstract:This study aims to explore how consumers evaluate these time attributes; i.e., the value of time, when they are facing a shopping mode choice between physical store shopping and e-shopping. For this purpose, it conducts an experiment to acquire data on respondents’ stated preference choices between physical Bookstore shopping and Online Bookstore shopping. It is finally found that the value of delivery time for a purchased book from an Online Bookstore to a consumer is approximately $0.53 per day, which means an Online Bookstore will have to lower a book’s price by $0.53 to attract a physical Bookstore shopper if the delivery is delayed for one day. It is also found that in terms of monetary values, avoiding a shopping trip produces far more benefits than bearing waiting for the delivery of books for an Online purchase.
Fort Hays State University - One of the best experts on this subject based on the ideXlab platform.
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Tiger Daily: August 28, 2018
FHSU Scholars Repository, 2018Co-Authors: Fort Hays State UniversityAbstract:ANNOUNCEMENTS · Forsyth Welcomes Staff Member · Homecoming is Quickly Approaching! · Student Organization Renewal for the 2018-2019 Academic Year is Now Open! · Faculty and Unclassified Staff Handbook · Advisor Training · Ping Pong (Table Tennis) Club – Fall Semester 2018 · Victor E Garden Volunteer Work Days – Food & Garden Club · ROAR Magazine Ad Space Available · Online Bookstore Help EVENTS THIS WEEK/WEEKEND · FY19 Undergraduate Research Experience (URE) Grant Workshop – TODAY; 3:30pm to 5:00pm · Job Search Jumpstart – TODAY; 7:00pm · Cupcakes & Careers – TOMORROW; 10:00am to 12:00pm FUTURE EVENTS · Grant Writing Workshop Series – Dates Listed Below; 3:30pm to 5:00pm · Hays Symphony Opening Concert – September 8; 7:30pm · MDC Workshop: “Your Website: The Foundation of a First-Rate Marketing Strategy” – September 12; 1:00pm to 4:30pm · MDC Workshop: “Introduction to Excel” – October 3; 1:00pm to 4:00p
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Tiger Daily: August 27, 2018
FHSU Scholars Repository, 2018Co-Authors: Fort Hays State UniversityAbstract:ANNOUNCEMENTS · URE Grant Applications Now Available · Back to School Picnic Feedback · Faculty and Unclassified Staff Handbook · Advisor Training · Ping Pong (Table Tennis) Club – Fall Semester 2018 · Victor E Garden Volunteer Work Days – Food & Garden Club · ROAR Magazine Ad Space Available · Novels for Hope · Online Bookstore Help EVENTS THIS WEEK/WEEKEND · FY19 Undergraduate Research Experience (URE) Grant Workshop – TOMORROW; 3:30pm to 5:00pm · Job Search Jumpstart – TOMORROW; 7:00pm · Cupcakes & Careers – August 29; 10:00am to 12:00pm FUTURE EVENTS · Grant Writing Workshop Series – Dates Listed Below; 3:30pm to 5:00pm · Hays Symphony Opening Concert – September 8; 7:30pm · MDC Workshop: “Your Website: The Foundation of a First-Rate Marketing Strategy” – September 12; 1:00pm to 4:30pm · Science Café Presents: “The Science of Eating” – September 17; 7:00pm · MDC Workshop: “Introduction to Excel” – October 3; 1:00pm to 4:00p
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Tiger Daily: August 24, 2018
FHSU Scholars Repository, 2018Co-Authors: Fort Hays State UniversityAbstract:ANNOUNCEMENTS · Faculty and Unclassified Staff Handbook · Student Organization Renewal for the 2018-2019 Academic Year is Now Open! · Advisor Training · New Technology Services Request Forms Now Available! · Ping Pong (Table Tennis) Club – Fall Semester 2018 · Victor E Garden Volunteer Work Days – Food & Garden Club · ROAR Magazine Ad Space Available · Music Stand Round-Up · Novels for Hope · Online Bookstore Help EVENTS THIS WEEK/WEEKEND · Suit-Up with JCPenney – August 26; 6:00pm to 9:00pm FUTURE EVENTS · FY19 Undergraduate Research Experience (URE) Grant Workshop – August 28; 3:30pm to 5:00pm · Job Search Jumpstart – August 28; 7:00pm · Grant Writing Workshop Series – Dates listed below; 3:30pm to 5:00pm · Hays Symphony Opening Concert – September 8; 7:30pm · MDC Workshop: “Your Website: The Foundation of a First-Rate Marketing Strategy” – September 12; 1:00pm to 4:30pm · MDC Workshop: “Introduction to Excel” – October 3; 1:00pm to 4:00p
Hsinchun Chen - One of the best experts on this subject based on the ideXlab platform.
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a graph model for e commerce recommender systems
Journal of the Association for Information Science and Technology, 2004Co-Authors: Zan Huang, Wingyan Chung, Hsinchun ChenAbstract:Information overload on the Web has created enormous challenges to customers selecting products for Online purchases and to Online businesses attempting to identify customers' preferences efficiently. Various recommender systems employing different data representations and recommendation methods are currently used to address these challenges. In this research, we developed a graph model that provides a generic data representation and can support different recommendation methods. To demonstrate its usefulness and flexibility, we developed three recommendation methods: direct retrieval, association mining, and high-degree association retrieval. We used a data set from an Online Bookstore as our research test-bed. Evaluation results showed that combining product content information and historical customer transaction information achieved more accurate predictions and relevant recommendations than using only collaborative information. However, comparisons among different methods showed that high-degree association retrieval did not perform significantly better than the association mining method or the direct retrieval method in our test-bed.
