We propose a new document summarization algorithm which is personalized. The key idea is to rely on the attention (reading) time of individual users spent on single words in a doc...
Keyword-based search engines, though hugely popular, are limited when trying to answer very specific queries. The processing of search results is performed by users, rather than th...
Ian Blacoe, Ignazio Palmisano, Valentina A. M. Tam...
We present a new way to generate type-error messages in a polymorphic, implicitly, and strongly typed language (specifically Caml). Our method separates error-message generation ...
The ability to aggregate huge volumes of queries over a large population of users allows search engines to build precise models for a variety of query-assistance features such as ...
In this technical demonstration, we showcase a multimedia search engine that facilitates semantic access to archival rock n' roll concert video. The key novelty is the crowds...
Cees G. M. Snoek, Bauke Freiburg, Johan Oomen, Roe...