2 August 2008
Microsoft Research just published a paper revealing a new type of web search ranking: BrowseRank: Letting Web Users Vote for Page Importance. This was a paper for the SIGIR (Special Interest Group on Information Retrieval) conference, which took place in Singapore this week.
In a nutshell, this is an attention-based way of ranking pages: the more a page is visited and the longer time people interact with it, the higher it gets ranks. The researchers claim the results outperform Google’s PageRank.
What’s next? I’d imagine an influence-based ranking alogorithm would be the next thing to come along. That is, you’d have to somehow measure that the information on a page actually changed the reader’s opinion or influenced his or her actions somehow. Go figure out how to do that…
30 October 2007
Previously, I wrote about Spock–a new people search engine that scraps all kinds of public person data from the web. Here is an interesting article reviewing Spock and others:
These types of search services are drawing on a lot of resources, including open web pages, but also things like LinkedIn and even Twitter posts. Pipl claims to be doing deep web searches into the databases. This was my favorite of the bunch (apart from Spock) because the entity resolution seemed to be best.
Couldn’t help but think about Mags Hanley’s talk at the Euro IA Summit this year, where we discussed privacy and different levels of personal information. These types of meta-people-search sites are making any distinctions and going for it all, so it seems. It’ll probably be really hard to keep information private in the future. We’re all giving off enormous amounts of exoinformation whether we know it or not.