Algorithms for clustering data
Algorithms for clustering data
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Recommendation as classification: using social and content-based information in recommendation
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Horting hatches an egg: a new graph-theoretic approach to collaborative filtering
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
A hybrid user model for news story classification
UM '99 Proceedings of the seventh international conference on User modeling
Content-based book recommending using learning for text categorization
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Recommender systems in e-commerce
Proceedings of the 1st ACM conference on Electronic commerce
Finance with a personalized touch
Communications of the ACM
Personalization on the Net using Web mining: introduction
Communications of the ACM
Exploring the factors associated with Web site success in the context of electronic commerce
Information and Management
Growth in personalization and business
Communications of the ACM
A music recommendation system based on music data grouping and user interests
Proceedings of the tenth international conference on Information and knowledge management
Internet World Guide to One-to-One Web Marketing
Internet World Guide to One-to-One Web Marketing
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization
Data Mining and Knowledge Discovery
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Efficient Data Mining for Path Traversal Patterns
IEEE Transactions on Knowledge and Data Engineering
A personalized and integrative comparison-shopping engine and its applications
Decision Support Systems - Special issue: Agents and e-commerce business models
COMPSAC '00 24th International Computer Software and Applications Conference
Mining customer product ratings for personalized marketing
Decision Support Systems - Special issue: Web data mining
Grouping Web Page References into Transactions for Mining World Wide Web Browsing Patterns
KDEX '97 Proceedings of the 1997 IEEE Knowledge and Data Engineering Exchange Workshop
Data Mining Algorithms for Web Pre-Fetching
WISE '00 Proceedings of the First International Conference on Web Information Systems Engineering (WISE'00)-Volume 2 - Volume 2
An intelligent fuzzy-based recommendation system for consumer electronic products
Expert Systems with Applications: An International Journal
International Journal of Electronic Commerce
An e-customer behavior model with online analytical mining for internet marketing planning
Decision Support Systems
On-line personalized sales promotion in electronic commerce
Expert Systems with Applications: An International Journal
Feature-based recommendations for one-to-one marketing
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Assessing users' product-specific knowledge for personalization in electronic commerce
Expert Systems with Applications: An International Journal
Applying text-mining to personalization and customization research literature - Who, what and where?
Expert Systems with Applications: An International Journal
Customer acceptance of playing online game on mobile phones
International Journal of Mobile Communications
| Hi-index | 12.05 |
The rapid growth of e-commerce has confronted both enterprises and consumers with a new situation. Whereas companies are finding it harder to survive, consumers are unable to effectively select the products that really to meet their needs. To reduce the product overload of Internet shoppers, a variety of recommendation techniques that track previous actions of groups of consumers to make personalized recommendations have been developed and applied. Current personalized recommendation systems suffer from the need to analyze large sets of consumer data, or data for numerous consumers. However, even within a single group, consumer preferences may differ, and individual preferences may also change with circumstances. Additionally, the consumer product knowledge influences their browsing actions. To orient Web-visitors on how to become consumers, a salesman-like recommendation technology was developed based on visitor product preference index, which comprises of their product knowledge and browsing actions in scene. A prototype system for use with high-technology product, 3G phones, was developed to test the effectiveness of the recommendation technology. Through a test of 250 objectives, the results show that the recommendation deviation level can be reduced to 0.49, and exact fit with visitor favor products can reach 60.8%, showing that the proposed model can achieve recommendation effectiveness.