Share This Author
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.
Overcoming Spammers in Twitter – A Tale of Five Algorithms1
- Daniel Gayo-Avello, David J. Brenes
- Computer Science
The vulnerability of five different algorithms to linking malpractice in Twitter is examined and a first step towards “desensitizing” them against such abusive behavior is proposed.
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.
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.
Stratified analysis of AOL query log
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.