Funded PhD Opportunity Query Performance prediction in information retrieval

This opportunity is now closed.

Subject: Computer Science and Informatics

Summary

Query performance prediction refers to inferring retrieval performance of a given query with a search engine. It is useful in a few different ways. For example, if a given query has poor performance, then the search engine may give the user an alert. Thus the initial query can be modified for better performance. It is also possible that the search engine may modify a query automatically. Poor performance to certain type of queries also indicates that there are not enough relevant documents in the corpus and more relevant documents to these queries should be replenished.

Query performance prediction methods can be classified into three categories: post-retrieval prediction, pre-retrieval prediction, and combination methods. Post-retrieval prediction happens when the retrieval results are obtained. It involves the use of contents, relevance scores, and many other features of retrieved results. Pre-retrieval performance prediction uses the descriptive features (such as linguistic features and part-of-speech tags) of query terms, corpus related statistics, and others to predict query performance.

The prediction process happens before the retrieval process takes place, and retrieval results are not required. The third category is combination methods which combine different prediction methods or features into one. Recently, some machine learning methods such as neural networks have also been used in many information retrieval tasks including query performance prediction. The major task is to set up a beneficial prediction model.

A related issue is how to select a group of most useful features from a large number of them. For both post-retrieval prediction and pre-retrieval prediction, dozens of features can be collected.

To undertake this project, it is desirable to have good knowledge on information retrieval, machine learning, and statistical analysis.

Essential Criteria

  • Upper Second Class Honours (2:1) Degree or equivalent from a UK institution (or overseas award deemed to be equivalent via UK NARIC)

Funding

    Vice Chancellors Research Scholarships (VCRS)

    The scholarships will cover tuition fees and a maintenance award of £15,009 per annum for three years (subject to satisfactory academic performance). Applications are invited from UK, European Union and overseas students.

    DFE

    The scholarship will cover tuition fees at the Home rate and a maintenance allowance of £15,009 per annum for three years. EU applicants will only be eligible for the fees component of the studentship (no maintenance award is provided).  For Non EU nationals the candidate must be "settled" in the UK.

Other information

The Doctoral College at Ulster University

Launch of the Doctoral College

Current PhD researchers and an alumnus shared their experiences, career development and the social impact of their work at the launch of the Doctoral College at Ulster University.

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Reviews


As Senior Engineering Manager of Analytics at Seagate Technology I utilise the learning from my PhD ever day

Adrian Johnston - PhD in Informatics

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Key Dates

Submission Deadline
Monday 18 February 2019
Interview Date
25 to 29 March 2019

Campus

Jordanstown campus

Jordanstown campus
The largest of Ulster's campuses

Contact Supervisor

Dr Shengli Wu

Other Supervisors

Apply online

Visit https://www.ulster.ac.uk/applyonline and quote reference number #344130 when applying for this PhD opportunity