Recommendation as Collaboration in Web Search


  • Barry Smyth CLARITY: Centre for Sensor Web Technologies
  • Jill Freyne Tasmanian ICT Centre, CSIRO
  • Maurice Coyle HeyStaks Technologies Limited
  • Peter Briggs HeyStaks Technologies Limited



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.




How to Cite

Smyth, B., Freyne, J., Coyle, M., & Briggs, P. (2011). Recommendation as Collaboration in Web Search. AI Magazine, 32(3), 35-45.