Web2.0

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

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.