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Qwant a one-page, multilingual search aggregator?

Among my recent discoveries in the world of search is Qwant.

Launched in January by a French company, the multilingual meta-search, reaches into news, web, video, image and social content sources and allows (optionally) logged-in users to add and share bookmarks, respond to social posts directly from the interface, and maintain topic-specific notebooks.

The attractive interface is likely to be useful for student searchers, even without a login commitment.

The default Classic one-page, column arrangement aggregates results across the Web, News, Qnowledge Graph (Wikipedia snippets), Social (realtime), and Shopping.  A series image and media results runs horizontally along the top of the page as a slideshow.  Each of the columns allows searchers to refine results. Alternate layouts allow searchers to display color-coded results as a mosaic, or to choose a tab to isolate Media or People results.

Note for teachers of ESL and world languages: Qwant searches in fifteen languages and shares that it can focus on the websites of thirty countries and geographical areas.

For similar approach to aggregated web and realtime results, you may also be interested in Mashpedia.


Joyce Valenza About Joyce Valenza

Joyce is an Assistant Professor of Teaching at Rutgers University School of Information and Communication, a technology writer, speaker, blogger and learner. Follow her on Twitter: @joycevalenza

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