Tudor Mateescu

Scurt si la obiect ideea articolului:

So, for example, we determine that Mike is a Linux geek (connoisseur). Let’s say Mike
1. Makes a specific query related to Linux
2. Clicks on 4 results
3. Spends less than 30 seconds on the first 3 results
4. Spends more time on the 4th result
5. Bookmarks the 4th result
5. Browses more pages on the 4th result site.
6. Returns to that site at a later time.We could say that Mike found the answer to his query and that the 4th result should be given more trust in future rankings. Over time we could develop metrics or filters to determine how much to trust a given behavior or behavioral pattern – mostly by trial and error, but eventually we would have it.

Google, Yahoo and Microsoft are already incorporating this data into their search algorithms. They just need to work out the kinks and get past the trial and error phase. Analysis of user behavior through monitoring and profiling will be one of the most important Search developments in the years to come.

Mai mult aici