Download PDF by Taein Hwang, Hojin Park, Jin-Wook Chung (auth.), Shingo Ata,: Managing Next Generation Networks and Services: 10th

By Taein Hwang, Hojin Park, Jin-Wook Chung (auth.), Shingo Ata, Choong Seon Hong (eds.)

ISBN-10: 354075475X

ISBN-13: 9783540754756

This publication constitutes the refereed complaints of the ninth Asia-Pacific community Operations and administration Symposium, APNOMS 2007, held in Sapporo, Japan, October 2007.

The forty eight revised complete papers and 30 revised brief papers awarded have been conscientiously reviewed and chosen from 161 submissions. The papers are equipped in topical sections on administration of dispensed Networks, community Configuration and making plans, community safety administration, Sensor and Ad-hoc Networks, community tracking, Routing and site visitors Engineering, administration of instant Networks and protection on instant Networks.

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Read Online or Download Managing Next Generation Networks and Services: 10th Asia-Pacific Network Operations and Management Symposium, APNOMS 2007, Sapporo, Japan, October 10-12, 2007. Proceedings PDF

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Extra resources for Managing Next Generation Networks and Services: 10th Asia-Pacific Network Operations and Management Symposium, APNOMS 2007, Sapporo, Japan, October 10-12, 2007. Proceedings

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Category searching can be used to extract the type of goods of interest to the user. (2) Obtaining preference from the interaction TV TV programs selected by users contain a lot of information that reflects the preferences of each user. For example, background music, actor’s name, clothing, and place are information that can affect commerce. Moreover, the TV is no longer a static system, evolving towards an interactive system, where users can select programs as desired. Hence, this paper used the VOD service on the Web as an early model of interactive TV.

Step 1. 1. 2. 3. Analyzes the URL linked with form tag, and find the URL pro cessing the query Step 2. 1. 2. If next page is the URL linked with form tag, and extracts t he query from the entire URL Step 3. Removes the stop word(including articles and prepositions) defi ned in advance Step 4. Records the extracted keywords and the appearance frequency, an d periodically sends it to the UMS Fig. 2. The extraction phase of keywords from web pages The collected keywords are presented in formula (1).

1 Introduction In electronic commerce, personalized content and goods recommendation are necessary, in order to raise user satisfaction and promote commerce. Hence, the correct analysis of user preferences is very important. To obtain user preferences, existing researches in the area of e-commerce use methods that either explicitly represents interest information such as response, purchase history, wish list, or inferred information by implicit user action, such as browsing time for each web page, and terms extracted from their favorite site list stored in the browser [1].

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Managing Next Generation Networks and Services: 10th Asia-Pacific Network Operations and Management Symposium, APNOMS 2007, Sapporo, Japan, October 10-12, 2007. Proceedings by Taein Hwang, Hojin Park, Jin-Wook Chung (auth.), Shingo Ata, Choong Seon Hong (eds.)


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