1,895 research outputs found
The Influence of Commercial Intent of Search Results on Their Perceived Relevance
We carried out a retrieval effectiveness test on the three major web search engines (i.e., Google, Microsoft and Yahoo). In addition to relevance judgments, we classified the results according to their commercial intent and whether or not they carried any advertising. We found that all search engines provide a large number of results with a commercial intent. Google provides significantly more commercial results than the other search engines do. However, the commercial intent of a result did not influence jurors in their relevance judgments
Evaluating the retrieval effectiveness of Web search engines using a representative query sample
Search engine retrieval effectiveness studies are usually small-scale, using
only limited query samples. Furthermore, queries are selected by the
researchers. We address these issues by taking a random representative sample
of 1,000 informational and 1,000 navigational queries from a major German
search engine and comparing Google's and Bing's results based on this sample.
Jurors were found through crowdsourcing, data was collected using specialised
software, the Relevance Assessment Tool (RAT). We found that while Google
outperforms Bing in both query types, the difference in the performance for
informational queries was rather low. However, for navigational queries, Google
found the correct answer in 95.3 per cent of cases whereas Bing only found the
correct answer 76.6 per cent of the time. We conclude that search engine
performance on navigational queries is of great importance, as users in this
case can clearly identify queries that have returned correct results. So,
performance on this query type may contribute to explaining user satisfaction
with search engines
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Overview of the CHIIR 2019 Workshop on Barriers to InteractiveIR Resources Re-use (BIIRRR 2019)
This paper presents an overview of the BIIRRR 2019 workshop at CHIIR 2019, which had the explicit aim of understanding and promoting re-use of resources for interactive IR experimentation
Relevance Clues
When users of information systems judge the relevance of search results, diverse criteria beyond topical relevance come into play. In this paper, we introduce the doctoral project Relevance Clues, which, through an experimental design, seeks to gain significant knowledge on the criteria by which users make relevance judgments
GeoCLEF 2006: the CLEF 2006 Ccross-language geographic information retrieval track overview
After being a pilot track in 2005, GeoCLEF advanced to be a regular track within CLEF 2006. The
purpose of GeoCLEF is to test and evaluate cross-language geographic information retrieval (GIR): retrieval for
topics with a geographic specification. For GeoCLEF 2006, twenty-five search topics were defined by the
organizing groups for searching English, German, Portuguese and Spanish document collections. Topics were
translated into English, German, Portuguese, Spanish and Japanese. Several topics in 2006 were significantly
more geographically challenging than in 2005. Seventeen groups submitted 149 runs (up from eleven groups and
117 runs in GeoCLEF 2005). The groups used a variety of approaches, including geographic bounding boxes,
named entity extraction and external knowledge bases (geographic thesauri and ontologies and gazetteers)
CLEF 2005: Ad Hoc track overview
We describe the objectives and organization of the CLEF 2005 ad hoc track and discuss the main characteristics of the tasks offered to test monolingual, bilingual and multilingual textual document retrieval. The performance achieved for each task is presented and a preliminary analysis of results is given. The paper focuses in particular on the multilingual tasks which reused the test collection created in CLEF 2003 in an attempt to see if an improvement in system performance over time could be measured, and also to examine the multilingual results merging problem
The Influence of Commercial Intent of Search Results on Their Perceived Relevance
We carried out a retrieval effectiveness test on the three major web search engines (i.e., Google, Microsoft and Yahoo). In addition to relevance judgments, we classified the results according to their commercial intent and whether or not they carried any advertising. We found that all search engines provide a large number of results with a commercial intent. Google provides significantly more commercial results than the other search engines do. However, the commercial intent of a result did not influence jurors in their relevance judgments
A Standardised Format for Exchanging User Study Instruments
Increasing re-use in Interactive Information Retrieval (IIR) has been an ongoing aim in IIR for a significant amount of time, however progress has been limited and patchy. While re-use of some study aspects can be difficult due to the varied nature of IIR studies, the use of pre- and post-task self-reported measures is widespread and relatively standardised. Nevertheless, re-use of elements in this area is also limited, in part because systems used to implement them are not able to exchange question, instruments, or complete study setups. To address this, this paper presents a standardised, but extendable, format for IIR survey instrument exchange
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