document: Best bets : thousands of queries in search of a client A number of applications require selecting targets for specific contents on the basis of criteria defined by the contents providers rather than selecting documents in response to user queries , as in ordinary information retrieval . We present a class of retrieval systems , called Best Bets , that generalize Information Filtering and encompass a variety of applications including editorial suggestions , promotional campaigns and targeted advertising , such as Google AdWords ™ . We developed techniques for implementing Best Bets systems addressing performance issues for large scale deployment as efficient query search , incremental updates and dynamic ranking .
doc_bio_tags: O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B B O O O O O O O