1,220 research outputs found

    Enriching Existing Test Collections with OXPath

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    Extending TREC-style test collections by incorporating external resources is a time consuming and challenging task. Making use of freely available web data requires technical skills to work with APIs or to create a web scraping program specifically tailored to the task at hand. We present a light-weight alternative that employs the web data extraction language OXPath to harvest data to be added to an existing test collection from web resources. We demonstrate this by creating an extended version of GIRT4 called GIRT4-XT with additional metadata fields harvested via OXPath from the social sciences portal Sowiport. This allows the re-use of this collection for other evaluation purposes like bibliometrics-enhanced retrieval. The demonstrated method can be applied to a variety of similar scenarios and is not limited to extending existing collections but can also be used to create completely new ones with little effort.Comment: Experimental IR Meets Multilinguality, Multimodality, and Interaction - 8th International Conference of the CLEF Association, CLEF 2017, Dublin, Ireland, September 11-14, 201

    Seven years of INEX interactive retrieval experiments – lessons and challenges

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    This paper summarizes a major effort in interactive search investigation, the INEX i-track, a collective effort run over a seven-year period. We present the experimental conditions, report some of the findings of the participating groups, and examine the challenges posed by this kind of collective experimental effort

    The INEX 2010 Interactive Track: An Overview

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    In the paper we present the organization of the INEX 2010 interactive track. For the 2010 experiments the iTrack has gathered data on user search behavior in a collection consisting of book metadata taken from the online bookstore Amazon and the social cataloguing application LibraryThing. The collected data represents traditional bibliographic metadata, user-generated tags and reviews and promotional texts and reviews from publishers and professional reviewers. In this year’s experiments we designed two search task categories, which were set to represent two different stages of work task processes. In addition we let the users create a task of their own, which is used as a control task. In the paper we describe the methods used for data collection and the tasks performed by the participants

    Overview of the INEX 2009 Interactive Track

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    In the paper we present the organization of the INEX 2009 interactive track. For the 2009 experiments the iTrack has gathered data on user search behavior in a collection consisting of book metadata taken from the online bookstore Amazon and the social cataloguing application LibraryThing. Thus the data are more structured than in previous years’ experiments, consisting of traditional bibliographic metadata, user-generated tags and reviews and promotional texts and reviews from publishers and professional reviewers. Through monitoring searches based on three different task types the experiment aims at studying how users interact with highly structured data. We describe the methods used for data collection and the tasks performed by the participants. Some preliminary results of the interaction analysis are reported

    Overview of the INEX 2014 Interactive Social Book Search Track

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    Abstract. Users looking for books online are confronted with both pro-fessional meta-data and user-generated content. The goal of the Interac-tive Social Book Search Track was to investigate how users used these two sources of information, when looking for books in a leisure context. To this end participants recruited by four teams performed two different tasks using one of two book-search interfaces. Additionally one of the two interfaces also investigated whether user performance can be improved by providing a user-interface that supports multiple search stages.
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