| Aristides Gionis|
(Alternative names for this author)
|Co-authors||Antti Ukkonen, Bordino I., Carlos Castillo, Debora Donato, Lalmas M., Mejova Y.|
|Authorship||Publications (2), datasets (0), tools (0)|
|Citations||Total (0), average (0), median (0), max (0), min (0)|
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PublicationsOnly those publications related to wikis are shown here.
|Title||Keyword(s)||Published in||Language||DateThis property is a special property in this wiki.||Abstract||R||C|
|Searching for interestingness in wikipedia and yahoo! answers||Exploratory search
|WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web||English||2013||In many cases, when browsing the Web, users are searching for specific information. Sometimes, though, users are also looking for something interesting, surprising, or entertain- ing. Serendipitous search puts interestingness on par with relevance. We investigate how interesting are the results one can obtain via serendipitous search, and what makes them so, by comparing entity networks extracted from two promi- nent social media sites, Wikipedia and Yahoo Answers.||0||0|
|Searching the Wikipedia with contextual information||English||2008||We propose a framework for searching the Wikipedia with contextual information. Our framework extends the typical keyword search, by considering queries of the type (q,p), where q is a set of terms (as in classical Web search), and p is a source Wikipedia document. The query terms q represent the information that the user is interested in finding, and the document p provides the context of the query. The task is to rank other documents in Wikipedia with respect to their relevance to the query terms q given the context document p. By associating a context to the query terms, the search results of a search initiated in a particular page can be made more relevant.||0||0|