Group items tagged

Gisteren publiceerde ik deel 1 van de Top 25 Web 2.0 Search engines. Dat leidde tot veel reacties, dus vandaag maar meteen door met deel 2 van dit overzicht. Met daarin aandacht voor de sociale aspecten (user contribution, recommendations, social networks), visual search en audio/video search. Verder eveneens een korte update over enkele recente ontwikkelingen bij Google en Microsoft op het vlak van de toepassing van Web 2.0 technieken in hun (traditionele) search.

During browsing, the user's attention (and their money) is up for grabs. By showing the user something compelling, a web site maximizes the likelihood of a transaction. So if a web site can increase the chances of giving users good recommendations, it makes more money. Obviously this is a difficult problem, but the incentive to solve it is very big. The main approaches fall into the following categories: Personalized recommendation - recommend things based on the individual's past behavior Social recommendation - recommend things based on the past behavior of similar users Item recommendation - recommend things based on the thing itself A combination of the three approaches above