@article{Smyth_Freyne_Coyle_Briggs_2011, title={Recommendation as Collaboration in Web Search}, volume={32}, url={https://ojs.aaai.org/aimagazine/index.php/aimagazine/article/view/2362}, DOI={10.1609/aimag.v32i3.2362}, abstractNote={Recommender systems now play an important role in online information discovery, complementing traditional approaches such as search and navigation, with a more proactive approach to discovery that is informed by the users interests and preferences. To date recommender systems have been deployed within a variety of e-commerce domains, covering a range of products such as books, music, movies, and have proven to be a successful way to convert browsers into buyers. Recommendation technologies have a potentially much greater role to play in information discovery however and in this article we consider recent research that takes a fresh look at web search as a fertile platform for recommender systems research as users demand a new generation of search engines that are less susceptible to manipulation and more responsive to searcher needs and preferences.}, number={3}, journal={AI Magazine}, author={Smyth, Barry and Freyne, Jill and Coyle, Maurice and Briggs, Peter}, year={2011}, month={Jun.}, pages={35-45} }