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  • × author_ss:"Pirkola, A."
  • × year_i:[2010 TO 2020}
  1. Pirkola, A.: Constructing topic-specific search keyphrase suggestion tools for Web information retrieval (2010) 0.00 
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    Abstract
    We devised a method to extract keyphrases from the Web pages to construct a keyphrase list for a specific topic. The keyphrases are identified and out-oftopic phrases removed based on their frequencies in the text corpora of various densities of text discussing the topic. The list is intended as a search aid for Web information retrieval, so that the user can browse the list, identify different aspects of the topic, and select from it keyphrases (e.g. find synonymous phrases) for a query. A keyphrase list containing a large set of key-phrases related to climate change was constructed using the proposed method. We argue that there is a need for such keyphrase suggestion tools, because the major Web search engines do not provide users with such terminological search aids that help them identify different topic aspects and find synonyms.
    Type
    a
  2. Ferro, N.; Silvello, G.; Keskustalo, H.; Pirkola, A.; Järvelin, K.: ¬The twist measure for IR evaluation : taking user's effort into account (2016) 0.00 
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    Abstract
    We present a novel measure for ranking evaluation, called Twist (t). It is a measure for informational intents, which handles both binary and graded relevance. t stems from the observation that searching is currently a that searching is currently taken for granted and it is natural for users to assume that search engines are available and work well. As a consequence, users may assume the utility they have in finding relevant documents, which is the focus of traditional measures, as granted. On the contrary, they may feel uneasy when the system returns nonrelevant documents because they are then forced to do additional work to get the desired information, and this causes avoidable effort. The latter is the focus of t, which evaluates the effectiveness of a system from the point of view of the effort required to the users to retrieve the desired information. We provide a formal definition of t, a demonstration of its properties, and introduce the notion of effort/gain plots, which complement traditional utility-based measures. By means of an extensive experimental evaluation, t is shown to grasp different aspects of system performances, to not require extensive and costly assessments, and to be a robust tool for detecting differences between systems.
    Type
    a

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