Abstract | ||
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The problem of information overload can be summarized as the difficulty for users to make decisions (e.g., retrieve a document or purchase an item) which is actually caused by the presence of too much information, especially the Web information. Information retrieval and recommender systems have successfully alleviated this problem by either exploring information relevance or adapting to users' preferences.
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Year | DOI | Venue |
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2016 | 10.1145/2851613.2852026 | SAC 2016: Symposium on Applied Computing
Pisa
Italy
April, 2016 |
Field | DocType | ISBN |
Recommender system,World Wide Web,Information overload,Computer science,Cyber-physical system,Component-based software engineering,Mobile apps,Multimedia,Information filtering system | Conference | 978-1-4503-3739-7 |
Citations | PageRank | References |
1 | 0.36 | 3 |
Authors | ||
1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yong Zheng | 1 | 201 | 18.20 |