Seeks Overview

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Fig.1: Users perform their queries to main websearch engines individually.
Fig.2: Seeks automatically regroups users who perform similar queries, in real-time.
Fig.3: Being regrouped, users can rate, comment, eliminate and rerank results together, or use automated collaborative filtering tools.
Fig.4: Users can share queries and improve their research with queries and keywords tried by others.
Fig.5: Finally, and most importantly, users can publish URLs of interest directly to the groups of users. To do so, a publisher must create a query that correctly represents the content to be published. Through the query, the user is regrouped with others, and can publish its content. The content will be rapidly rated down in case it does not match the query.

Seeks builds on the paradox that while we have the largest, most connected network of all time, websearch is still performed by individuals, isolated from the others users (Fig.1). Since we are millions performing hundreds of millions of queries everyday, it is legitimate to believe that many of those queries are the same, or at least similar.

Seeks proposes that users share their queries to the main websearch engines. Seeks is a decentralized system that regroups users in real time based on the similarity of their queries (Fig.2).

Once regrouped, users can do a whole lot of things, such as rating URLs, reranking results, commenting websites, sharing queries (Fig.3), ... In the Seeks architecture, these functionalities are offered through a set of plugins.

But most importantly, Seeks allows to avoid the mainstream system of crawlers, rankers and indexers of existing search engines. This is done very naturally: since users are regrouped in real time on the basis of the similarity of their queries, it is possible to propose content and URLs to an existing group, based on their queries (Fig.4). We are not talking about advertizing here, but mostly of blogs, and fresh news that you may want to see reach the users very rapidly, faster than by being crawled, ranked and indexed by Google or others.

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