Machine Learning
Algorithms for Image Processing and Computer Vision
Algorithms for Image Processing and Computer Vision
Modern Information Retrieval
Training products of experts by minimizing contrastive divergence
Neural Computation
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
"GrabCut": interactive foreground extraction using iterated graph cuts
ACM SIGGRAPH 2004 Papers
A fast learning algorithm for deep belief nets
Neural Computation
A survey of trust and reputation systems for online service provision
Decision Support Systems
Predictive user click models based on click-through history
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Pagerank for product image search
Proceedings of the 17th international conference on World Wide Web
A dynamic bayesian network click model for web search ranking
Proceedings of the 18th international conference on World wide web
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Predicting the conversion probability for items on C2C ecommerce sites
Proceedings of the 18th ACM conference on Information and knowledge management
Translating relevance scores to probabilities for contextual advertising
Proceedings of the 18th ACM conference on Information and knowledge management
Learning Deep Architectures for AI
Foundations and Trends® in Machine Learning
Beyond DCG: user behavior as a predictor of a successful search
Proceedings of the third ACM international conference on Web search and data mining
A novel click model and its applications to online advertising
Proceedings of the third ACM international conference on Web search and data mining
Personalized click prediction in sponsored search
Proceedings of the third ACM international conference on Web search and data mining
Improving ad relevance in sponsored search
Proceedings of the third ACM international conference on Web search and data mining
Click prediction for product search on C2C web sites
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
A study on the impact of product images on user clicks for online shopping
Proceedings of the 20th international conference companion on World wide web
Learning to re-rank: query-dependent image re-ranking using click data
Proceedings of the 20th international conference on World wide web
Learning a Robust Relevance Model for Search Using Kernel Methods
The Journal of Machine Learning Research
Is a picture really worth a thousand words?: - on the role of images in e-commerce
Proceedings of the 7th ACM international conference on Web search and data mining
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Product search engine faces unique challenges that differ from web page search. The goal of a product search engine is to rank relevant items that the user may be interested in purchasing. Clicks provide a strong signal of a user's interest in an item. Traditional click prediction models include many features such as document text, price, and user information. In this paper, we propose adding information extracted from the thumbnail image of the item as additional features for click prediction. Specifically, we use two types of image features -- photographic features and object features. Our experiments reveal that both types of features can be highly useful in click prediction. We measure our performance in both prediction accuracy and NDCG. Overall, our experiments show that augmenting with image features to a standard model in click prediction provides significant improvement in precision and recall and boosts NDCG.