Abstract
The quantity of accessible information has been growing rapidly and far exceeded human processing capabilities. The sheer abundance of information often prevents users from discovering the desired information, or aggravates making informed and correct choices. This highlights the pressing need for intelligent personalized applications that simplify information access and discovery by taking into account users' preferences and needs. One type of personalized application that has recently become tremendously popular in research and industry is recommender systems. These provide to users personalized recommendations about information and products they may be interested to examine or purchase. Extensive research into recommender systems has yielded a variety of techniques, which have been published at a variety of conferences and adopted by numerous Web-sites. This tutorial will provide the participants with broad overview and thorough understanding of algorithms and practically deployed Web and mobile applications of personalized technologies.
Original language | English |
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Title of host publication | Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining |
Publisher | Association for Computing Machinery (ACM) |
Pages | 2307-2308 |
Number of pages | 2 |
ISBN (Electronic) | 9781450336642 |
DOIs | |
Publication status | Published - 2015 |
Externally published | Yes |
Event | 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2015 - Sydney, Australia Duration: 10 Aug 2015 → 13 Aug 2015 |
Other
Other | 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2015 |
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Country/Territory | Australia |
City | Sydney |
Period | 10/08/15 → 13/08/15 |
Keywords
- Human-computer interaction
- interactive search
- generalized binary search
- recommender systems
- active learning