A Framework for Improving Target Marketing Using Collaborative Data Mining Approach
نویسندگان
چکیده
Marketing is one of the most prominent issues of modern trading culture. E-marketing refers to the advertisements published on World Wide Web. Advertising to the right user in the right way at the right moment is critical to the success of any e-marketing campaign. Social network can provide a link structure which can be explored to target a specific group of customers with their appropriate interest on the product rather than irrelevant popping up user’s web page for the advertisement. In this paper, an approach is used for mining the interest of users from their profile and determining the groups they belong to.
منابع مشابه
Improving electronic customers' profile in recommender systems using data mining techniques
Article history: Received March 29, 2011 Received in Revised form June, 18, 2011 Accepted 19 June 2011 Available online 20 June 2011 Recommender systems are tools for realization one to one marketing. Recommender systems are systems, which attract, retain, and develop customers. Recommender systems use several ways to make recommendations. Two ways are using more than the others: collaborative ...
متن کاملDatabase Marketing Process Supported by Ontologies: A Data Mining System Architecture Proposal
Marketing departments handles with a great volume of data which are normally task or marketing activity dependent. This requires the use of certain, and perhaps unique, specific knowledge background and framework approach. Database marketing provides in depth analysis of marketing databases. Knowledge discovery in database techniques is one of the most prominent approaches to support some of th...
متن کاملUsing Prototypes and Adaptation Rules for Diagnosis of Dysmorphic Syndromes
OVA scheme vs. single machine approach in feature selection for microarray datasets p. 10 Similarity searching in DNA sequences by spectral distortion measures p. 24 Multispecies gene entropy estimation, a data mining approach p. 38 A unified approach for discovery of interesting association rules in medical databases p. 53 Named relationship mining from medical literature p. 64 Experimental st...
متن کاملContent-boosted Matrix Factorization Techniques for Recommender Systems
Many businesses are using recommender systems for marketing outreach. Recommendation algorithms can be either based on content or driven by collaborative filtering. We study different ways to incorporate content information directly into the matrix factorization approach of collaborative filtering. These content-boosted matrix factorization algorithms not only improve recommendation accuracy, b...
متن کاملA Study to Improve the Response in Email Campaigning by Comparing Data Mining Segmentation Approaches in Aditi Technologies
Email marketing is increasingly recognized as an effective Internet marketing tool. In this study, a questionnaire is constructed and distributed to a sample of 146 prospects of Aditi Technologies to find the factors associated with higher response rates. The collected data is analyzed using Factor Analysis and the 11 factors, From Line, Subject Line, Personalization of the subject line, Timing...
متن کامل