An Effective Model for Improving the Quality of Recommender Systems in Mobile E-Tourism

Mohammadnezhad, Masoumeh

doi:10.5121/ijcsit.2012.4107

Cited by 4 publications

(3 citation statements)

References 21 publications

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“…In the future, further works are needed to provide location-aware advertisings, fun/entertaining content as well as to perform stressed test to ensure that the cloud service can handle high volume of traffic. It is also suggested to enhance the market segmentation algorithm (to personalize ads/deals), possibly by employing data mining techniques (some techniques are described in [16] and [17]. In e-commerce systems, the proposed mobile marketing system can be implemented as a standalone system as well as a sub-system of an integrated e-commerce system as suggested in [14].…”

Section: Resultsmentioning

confidence: 99%

Prototyping of an E-Commerce Mobile Marketing System

Nugroho¹,

Moertini

2013

IJITCS

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Electronic marketing is an essential part of e-commerce. With mobile device usage trends that grow exponentially in the last several years, providing electronic marketing services for mobile users has been becoming business opportunities. Despite these opportunities, mobile marketing system for e-commerce has not been widely studied. As mobile devices are personal tools, mobile marketing systems must be properly designed such that the systems will be accepted by users. This paper presents the design and prototype of an e-commerce mobile marketing system resolving user acceptance criteria, such as information personalization, privacy protection, up-to-date content and social network. The proposed system integrates a marketing provider website and mobile applications used by shoppers. The design and prototype are provided for the website, mobile application and the communication between both subsystems that employs web services and a cloud service. Prototype testing and evaluation have been performed to ensure that the proposed system works properly.

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Section: Resultsmentioning

confidence: 99%

Prototyping of an E-Commerce Mobile Marketing System

Nugroho¹,

Moertini

2013

IJITCS

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“…So, the content of e-commerce e-marketing should insist e-marketing, make emarketing as the core business activities of e-commerce and combine e-commerce and e-marketing that will give e-commerce new contents as well as create integrated and comprehensive modern new marketing model which is e-commerce e-marketing. E-marketers can select among four targeting strategies, which are mass marketing, multi-segment marketing, niche marketing (when a firm selects one segment and develops one or more marketing mixes to meet the needs of that segment), micromarketing/individualized targeting (when a firm tailors all or part of the marketing mix to a very small number of people) [22]. Market segments can be designed based on the geographic, language, psychographic and behavior.…”

Section: Related Literatures E-commerce and E-marketingmentioning

confidence: 99%

Mobile Apps Marketing Along with Web Mining Techniques in E-Commerce Applications

Vishal¹

2017

TIJAR

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Online marketing via internet on mobile apps (which includes android, ios and windows app) along with web mining is an essential part of e-commerce. In the recent years, with the more use of mobile devices usage trends that grow exponentially, providing online marketing services for mobile users has been becoming business opportunities. Despite these opportunities, mobile marketing system using mobile apps along with web mining for e-commerce has not been widely studied. As mobile devices are personal tools, mobile marketing systems along with web mining must be properly designed such that users will accept the systems. Nowadays online business breaks the barrier of time and space as compared to the physical office. Big companies around the world are realizing that e-commerce is not just buying and selling over Internet, rather it improves the efficiency to compete with other giants in the market. This paper presents the design and prototype of an e-commerce mobile marketing system using mobile apps and also how web mining helps resolving user acceptance criteria, such as information personalization, privacy protection, up-todate content, payments, statistics and analysis of usage of e-commerce market on the internet. The proposed system integrates a marketing provider website and mobile applications used by shoppers. The design and prototype are provided for the web mining, website, mobile app applications and the communication between both subsystems that employs web services and a cloud service. Prototype testing and evaluation have been performed to ensure that the proposed system works properly. Business over internet provides the opportunity to customers and partners where their products and specific business can be found. For this purpose data mining sometimes called as knowledge discovery is used. Web mining is data mining technique that is applied to the world wide web. There are vast quantities of information available over the Internet.

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“…The hybrid methods operate to attenuate the insufficiencies of each of the two previous approaches by combining them in various manners. Recently, a new generation of FS boosted by semantic web formalisms or adaptable to contexts that uses a taxonomies or ontologies [13]. Commonly, these systems have shortcomings that prevent the recommendation process and degrade their performances, like the effect of the funnel where the user does not profited from the innovation and diversity of the items recommended in contentbased filtering; the scalability where the system handles a large number of users and items online what makes difficult to predict in time; the sparsity problem, where there's a lack of sufficient evaluations to estimate the prediction well as the problem of the cold start to a user and/or item lately integrated into the system [11].…”

Section: State Of the Artmentioning

confidence: 99%