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Survey and evaluation of query intent detection methods
In this paper some of the available query intent detection techniques are reviewed, an evaluation framework is proposed, and it is used to compare those methods in order to shed light on their relative performance and drawbacks. Expand
Overcoming Spammers in Twitter – A Tale of Five Algorithms1
Micro-blogging services such as Twitter can develop into valuable sources of up-to-date information provided the spam problem is overcome. Thus, separating the most relevant users from the spammersExpand
Making the road by searching - A search engine based on Swarm Information Foraging
It will be shown that the technique is not only feasible, but also an elegant solution to the stated problem; what's more, it achieves promising results, both increasing the performance of a major search engine for informational queries, and substantially reducing the time users require to answer complex information needs. Expand
Stratified analysis of AOL query log
A stratified method for analyzing query logs that groups queries and sessions according to their hit frequency and analyzes the characteristics of each group in order to find how representative the average values are is proposed. Expand
On the Fly Query Entity Decomposition Using Snippets
In this paper an ‘on-the-fly’ query decomposition method is proposed which uses snippets which are mined by means of a nave statistical algorithm and an initial evaluation of such a method is provided, in addition to a discussion on its applicability to different scenarios. Expand
Automatic detection of navigational queries according to Behavioural Characteristics
This paper proposes the analysis of queries from a behavioural point of view, based in semantic or syntactic characteristics, on the basis of the goals of the queries the user submits. Expand