Multimedia and hypertext: the Internet and beyond
Multimedia and hypertext: the Internet and beyond
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
The Journal of Machine Learning Research
A study of smoothing methods for language models applied to information retrieval
ACM Transactions on Information Systems (TOIS)
LDA-based document models for ad-hoc retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Recommender systems by means of information retrieval
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
Text retrieval methods for item ranking in collaborative filtering
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Multilingual probabilistic topic modeling and its applications in web mining and search
Proceedings of the 7th ACM international conference on Web search and data mining
| Hi-index | 0.00 |
The information that users of social network sites post often points towards their interests and hobbies. It can be used to recommend relevant products to users. In this paper we implement and evaluate several information retrieval models for linking the texts of pins of Pinterest to webpages of Amazon, and ranking the pages (which we call webshops) according to the personal interest of the pinner. The results show that models that combine latent concepts composed of related terms with single words yield the best performance.