CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Groupware and social dynamics: eight challenges for developers
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Recommender systems for evaluating computer messages
Communications of the ACM
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Analysis of web-usage behavior for focused web sites: a case study
Journal of Software Maintenance and Evolution: Research and Practice - Special issue: Web site evolution
User Involvement in Automatic Filtering: An Experimental Study
User Modeling and User-Adapted Interaction
'I didn't buy it for myself' privacy and ecommerce personalization
Proceedings of the 2003 ACM workshop on Privacy in the electronic society
'I didn't buy it for myself': privacy and Ecommerce personalization
Designing personalized user experiences in eCommerce
Recommender Systems Research: A Connection-Centric Survey
Journal of Intelligent Information Systems
Evaluating implicit measures to improve web search
ACM Transactions on Information Systems (TOIS)
Learning user interaction models for predicting web search result preferences
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Improving web search ranking by incorporating user behavior information
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Identifying "best bet" web search results by mining past user behavior
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
WAIFR: web-browsing attention recorder based on a state-transition model
CAMA '06 Proceedings of the 1st international workshop on Contextualized attention metadata: collecting, managing and exploiting of rich usage information
Evaluating the impact of different virtual characters in product recommendations
IHC '06 Proceedings of VII Brazilian symposium on Human factors in computing systems
Keysurf: a character controlled browser for people with physical disabilities
Proceedings of the 17th international conference on World Wide Web
Personalization in an interactive learning environment through a virtual character
Computers & Education
Tag-based filtering for personalized bookmark recommendations
Proceedings of the 17th ACM conference on Information and knowledge management
Towards open decision support systems based on semantic focused crawling
Expert Systems with Applications: An International Journal
Discovery of a User Interests on the Internet
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Seven pitfalls to avoid when running controlled experiments on the web
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Predicting user interests from contextual information
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
How Users Perceive and Appraise Personalized Recommendations
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Identifying the Intent of a User Query Using Support Vector Machines
SPIRE '09 Proceedings of the 16th International Symposium on String Processing and Information Retrieval
ACM Transactions on Computer-Human Interaction (TOCHI)
Collaborative information filtering by using categorized bookmarks on the web
INAP'01 Proceedings of the Applications of prolog 14th international conference on Web knowledge management and decision support
Meta-evolution strategy to focused crawling on semantic web
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
WAIF: web of asynchronous information filters
Future directions in distributed computing
AppAware: which mobile applications are hot?
Proceedings of the 12th international conference on Human computer interaction with mobile devices and services
A method of extracting malicious expressions in bulletin board systems by using context analysis
Information Processing and Management: an International Journal
Hierarchical user interest modeling for Chinese web pages
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
Interactive tutoring of cooking activities with personalized multimedia recipe search
MTDL '11 Proceedings of the third international ACM workshop on Multimedia technologies for distance learning
A consumer interest prediction system from transaction behaviors in electronic commerce
AI*IA'05 Proceedings of the 9th conference on Advances in Artificial Intelligence
Analyzing user behavior to rank desktop items
SPIRE'06 Proceedings of the 13th international conference on String Processing and Information Retrieval
Contextual search: issues and challenges
USAB'11 Proceedings of the 7th conference on Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society: information Quality in e-Health
Implicit feedback techniques on recommender systems applied to electronic books
Computers in Human Behavior
An Investigation of User Behaviour Consistency for Context-Aware Information Retrieval Systems
International Journal of Advanced Pervasive and Ubiquitous Computing
Investigation of fNIRS brain sensing as input to information filtering systems
Proceedings of the 4th Augmented Human International Conference
| Hi-index | 0.01 |
Recommender systems provide personalized suggestions about items that users will find interesting. Typically, recommender systems require a user interface that can determine a user's interest and use this information to make suggestions. The common solution, explicit ratings, where users tell the system what they think about a piece of information, is fairly well understood and precise. However, having to stop to enter explicit ratings can alter normal browsing and reading patterns. The authors developed a Web browser that records users' actions (implicit ratings) as well as an explicit rating for each page visited. Their research studies the relationship between various implicit ratings and the explicit rating for a single Web page, and the impact of implicit interest indicators on user privacy.