In this work, the relationship between performance and retrievability bias is explored when various query expansion methods are employed to aide retrieval. Several parameters are altered, independently, to identify those that have an impact on bias. Parameters altered include; Rocchio's beta, length normalisation parameters, the number of terms added and the number of documents those terms are extracted from. A strong correlation between performance and retrievability bias is identified, suggesting that query expansion increases performance by making the system more biased
Much attention has been paid to the relative effectiveness of interactive query expansion versus aut...
A long standing problem in the domain of Information Retrieval (IR) has been the influence of biases...
Techniques for automatic query expansion from top retrieved documents have shown promise for improvi...
In this work, the relationship between performance and retrievability bias is explored when various ...
Query expansion is a useful retrieval mechanism for creating more verbose queries from the users ini...
In query expansion (QE) terms are added to an initial query in order to improve retrieval effectiven...
Query expansion (QE) is a potentially useful technique to help searchers formulate improved query s...
In query expansion (QE) terms are added to an initial query in order to improve retrieval effectiven...
Algorithmic bias presents a dificult challenge within Information Retrieval. Long has it been known ...
Retrievability provides an alternative way to assess an Information Retrieval (IR) system by measuri...
Hundreds of millions of users each day search the web and other repositories to meet their informati...
Bias in the retrieval of documents can directly influence the information access of a digital librar...
Algorithmic bias presents a difficult challenge within Information Retrieval. Long has it been known...
Bias in the retrieval of documents can directly influence the information access of a digital librar...
A long standing problem in the domain of Information Retrieval (IR) has been the influence of biases...
Much attention has been paid to the relative effectiveness of interactive query expansion versus aut...
A long standing problem in the domain of Information Retrieval (IR) has been the influence of biases...
Techniques for automatic query expansion from top retrieved documents have shown promise for improvi...
In this work, the relationship between performance and retrievability bias is explored when various ...
Query expansion is a useful retrieval mechanism for creating more verbose queries from the users ini...
In query expansion (QE) terms are added to an initial query in order to improve retrieval effectiven...
Query expansion (QE) is a potentially useful technique to help searchers formulate improved query s...
In query expansion (QE) terms are added to an initial query in order to improve retrieval effectiven...
Algorithmic bias presents a dificult challenge within Information Retrieval. Long has it been known ...
Retrievability provides an alternative way to assess an Information Retrieval (IR) system by measuri...
Hundreds of millions of users each day search the web and other repositories to meet their informati...
Bias in the retrieval of documents can directly influence the information access of a digital librar...
Algorithmic bias presents a difficult challenge within Information Retrieval. Long has it been known...
Bias in the retrieval of documents can directly influence the information access of a digital librar...
A long standing problem in the domain of Information Retrieval (IR) has been the influence of biases...
Much attention has been paid to the relative effectiveness of interactive query expansion versus aut...
A long standing problem in the domain of Information Retrieval (IR) has been the influence of biases...
Techniques for automatic query expansion from top retrieved documents have shown promise for improvi...