Sciweavers

RECSYS
2009
ACM
13 years 9 months ago
Acceptance issues of personality-based recommender systems
To understand users’ acceptance of the emerging trend of personality-based recommenders (PBR), we evaluated an existing PBR using the technology acceptance model (TAM). We also ...
Rong Hu, Pearl Pu
RECSYS
2009
ACM
13 years 10 months ago
Conceptual recommender system for CiteSeerX
Short search engine queries do not provide contextual information, making it difficult for traditional search engines to understand what users are really requesting. One approach ...
Ajith Kodakateri Pudhiyaveetil, Susan Gauch, Hiep ...
RECSYS
2009
ACM
13 years 10 months ago
Context-based splitting of item ratings in collaborative filtering
Collaborative Filtering (CF) recommendations are computed by leveraging a historical data set of users’ ratings for items. It assumes that the users’ previously recorded ratin...
Linas Baltrunas, Francesco Ricci
RECSYS
2009
ACM
13 years 10 months ago
FriendSensing: recommending friends using mobile phones
We propose FriendSensing, a framework that automatically suggests friends to mobile social-networking users. Using short-range technologies (e.g., Bluetooth) on her mobile phone, ...
Daniele Quercia, Licia Capra
RECSYS
2009
ACM
13 years 10 months ago
Rating aggregation in collaborative filtering systems
Recommender systems based on user feedback rank items by aggregating users’ ratings in order to select those that are ranked highest. Ratings are usually aggregated using a weig...
Florent Garcin, Boi Faltings, Radu Jurca, Nadine J...
RECSYS
2009
ACM
13 years 10 months ago
TagiCoFi: tag informed collaborative filtering
Besides the rating information, an increasing number of modern recommender systems also allow the users to add personalized tags to the items. Such tagging information may provide...
Yi Zhen, Wu-Jun Li, Dit-Yan Yeung
RECSYS
2009
ACM
13 years 10 months ago
Harnessing the power of "favorites" lists for recommendation systems
We propose a novel collaborative recommendation approach to take advantage of the information available in user-created lists. Our approach assumes associations among any two item...
Maryam Khezrzadeh, Alex Thomo, William W. Wadge
RECSYS
2009
ACM
13 years 10 months ago
Generating transparent, steerable recommendations from textual descriptions of items
We propose a recommendation technique that works by collecting text descriptions of items and using this textual aura to compute the similarity between items using techniques draw...
Stephen J. Green, Paul Lamere, Jeffrey Alexander, ...
RECSYS
2009
ACM
13 years 10 months ago
Assessment of conversation co-mentions as a resource for software module recommendation
Conversation double pivots recommend target items related to a source item, based on co-mentions of source and target items in online forums. We deployed several variants on the d...
Daniel Xiaodan Zhou, Paul Resnick
RECSYS
2009
ACM
13 years 10 months ago
Ordering innovators and laggards for product categorization and recommendation
Different buyers exhibit different purchasing behaviors. Some rush to purchase new products while others tend to be more cautious, waiting for reviews from people they trust. In...
Sarah K. Tyler, Shenghuo Zhu, Yun Chi, Yi Zhang