Peer-to-Peer
Seeks implements a decentralized Peer-to-Peer architecture: install Seeks on your machine, server or laptop, and automatically start sharing results. While users share queries over the Peer-to-Peer network, Seeks protects your privacy by sending encrypted query fragments to peers. This scheme makes it difficult for other peers to devise your initial query.
Personal Expertise and Profiles
Using Seeks on your machine, it builds a personal profile for you, based on your queries, result selection, and Web navigation. This profile is stored locally on your machine, for your own use. The profile is used by Seeks to filter your feeds and results and make recommendations. Though you can export it to several...
Collaborative Search
Seeks regroups users who perform similar queries so they can passively collaborate on the results. At this stage, collaboration is semi-passive: user clicks affect other users’ results on similar queries, and every user can reject recommendations and results. More active collaboration will emerge, through comments, chats, user to user result sharing, …
Meta-engine / Meta-sources
Seeks works on top of data feeds and search engines, such as Google, Bing, Yahoo, Blekko, Youtube, Dailymotion, Wikipedia, Dokuwiki, OpenSearch, RSS, ATOM,… It detects and fuses similar results, and ranks them. In proxy mode, Seeks can see your Web navigation and recommend results accordingly.
Seeks in a nutshell
Seeks acts as a personalizing Web server or proxy between you and your data feeds. Connect most search engines, RSS/ATOM feeds, Twitter / Identica, Youtube / Dailymotion, Wikis, and basically any source of data, and Seeks will produce a fused personalized batch / stream of results to your queries, coming from these sources. Seeks records...
ARM Seeks Debian package, tested on SheevaPlug
Sileht, one of Seeks contributors has successfully built a Seeks package for ARM devices. It has been reported to work fine on SheevaPlug. The package is for Debian and can be fetched here If you are interested using Seeks on SheevalPlugs and experiencing problems (e.g. with the package above, get in touch. We pay special...
Learning how to take advantage of most higlighted discrimant terms in search results
Most often unconsciously, most searchers look for the most discriminant keywords when crafting their queries to a search engine. Surprisingly, this job of finding most discriminant words in a collection of documents is easily done by machines. For this reason, Seeks highlights the most discriminant terms within search results. These words appear in blue in...
Seeks stable 0.2.5 codename Bubs is out!
This release mostly adds microblogging (Twitter, Identi.ca) and video (Youtube, Dailymotion) search and clustering of results. Thanks to Bram for working on all those parsers! This should be the last release for the meta-search engine. Next steps are personalized results, and passive collaboration over P2P, see our development roadmap
Watch the Seeks bees at work
Take a look at the Seeks bees at work for almost a year now. The gource video below below is 2D/3D representation of commits along the experimental branch. Watch the bees adding, fixing and yielding. Download the full video (82Mb). The Seeks project always needs more bees at work. If you like giving a hand,...
