We describe a machine learning approach for predicting sponsored search ad relevance. Our baseline model incorporates basic features of text overlap and we then extend the model t...
Dustin Hillard, Stefan Schroedl, Eren Manavoglu, H...
Sponsored search systems are tasked with matching queries to relevant advertisements. The current state-of-the-art matching algorithms expand the user's query using a variety...
Andrei Z. Broder, Peter Ciccolo, Evgeniy Gabrilovi...
The core task of sponsored search is to retrieve relevant ads for the user’s query. Ads can be retrieved either by exact match, when their bid term is identical to the query, or...
Michael Bendersky, Evgeniy Gabrilovich, Vanja Josi...
We explore the use of the landing page content in sponsored search ad selection. Specifically, we compare the use of the ad’s intrinsic content to augmenting the ad with the wh...
Yejin Choi, Marcus Fontoura, Evgeniy Gabrilovich, ...
Queries on major Web search engines produce complex result pages, primarily composed of two types of information: organic results, that is, short descriptions and links to relevan...
Cristian Danescu-Niculescu-Mizil, Andrei Z. Broder...