Iterative exploration, design and evaluation of support for query reformulation in interactive information retrieval

Belkin, Nicholas J.; Cool, Colleen; Kelly, Diane; Lin, Shin-jeng; Park, S. Y.; Pérez-Carballo, José; Sikora, Cynthia A.

doi:10.1016/s0306-4573(00)00055-8

Cited by 83 publications

(56 citation statements)

References 12 publications

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“…Belkin et al (2001), in a research entitled "Interactive exploration, design and evaluation of support for query reformulation in interactive information retrieval, report on the developed search tools for supporting interactive query reformulation in interactive (TREC) investigation task. Rieh and Xie (2006) in their research entitled "Analysis of Multiple query Reformulation on the Web: the interactive information retrieval context" stated that the purpose of their study was to explore various aspects and patterns of web query reformulation with an emphasis on query sequence.…”

Section: Literature Reviewmentioning

confidence: 99%

A Study on the Relationship between Perceived Usefulness and Satisfaction with Query Reformulation Tools

Shaker¹,

Farhadpoor²,

Nazari³

2016

Biosci., Biotech. Res. Asia

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This study aims to study the relationship between perceived usefulness and satisfaction with query reformulation tools in the Science Direct Database. A descriptive analytic method was used to study the relationship between variables; the data were collected using a researcher-made questionnaire. The participants were selected among the students of Information Sciences in Islamic Azad University of Research and Science Center of Khuzestan (n = 28). The findings showed that users main reason for query reformulation was not having enough time to investigate all retrieved results (Mean = 4.66). They also showed that based on perceived satisfaction and usefulness, the users used the query tools which bounded them to the topic (Mean = 3.92 for usefulness and M = 3.83 for satisfaction). In addition, Pearson's correlation co-efficiency (r = 0.939) at (0.001) significance level showed that users perceived usefulness from query reformulation tools increased satisfaction. Perceiving the usefulness of query reformulation tools improves the use of results. However, the usefulness is not the same for all tools and needs to be reviewed.Keywords: Query Reformulation, Search Usefulness, Search Satisfaction, Search Assessments.Whenever a user is in need of information, he has to produce information or get use of information produced by others (Babaee, 2003). If it is possible to define information production in the realm of thought and research, getting use of others' information calls for a chain of complicated activities which are located in the field of the search for information. The search for information is an imprecise process. When users enter a system of accessing information, often they have a vague perception of the way they can access the information. The vague stream of accessing information in different resources and media in itself does not produce value for those who need it, and likewise, the information does not flow toward people based on their need, rather, they themselves go for information in different contexts and look for it.In electrical information resources, the most important factor of mutual relationship between users (one who has a potential need for information) and system (an organized environment with potential information to meet users' information need) is the "user interface". If

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Section: Literature Reviewmentioning

confidence: 99%

A Study on the Relationship between Perceived Usefulness and Satisfaction with Query Reformulation Tools

Shaker¹,

Farhadpoor²,

Nazari³

2016

Biosci., Biotech. Res. Asia

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“…Belkin et al [5], in one of the few studies on interactive negative term feedback, showed that it was both valued and used by searchers, but issues surrounded how the search feature was designed and presented. This search feature warrants further examination, and could prove instrumental as searchers are able to recognize relevant and nonrelevant information more easily than recall it.…”

Section: Scrap Pad: Interactive Negative Query Term Feedbackmentioning

confidence: 99%

Interactive Search Support for Difficult Web Queries

Diriye

Kumaran

Huang

2012

Lecture Notes in Computer Science

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Abstract. Short and common web queries are aptly supported by stateof-the-art search engines but performance and user experience are degraded when web queries are longer and less common. Extending previous solutions that automatically shorten queries, we introduce searchAssist: a novel search interface that provides interactive support for difficult web queries. The query logs and questionnaires from a naturalistic study of 90 web users' search behaviors show that the usage rate of searchAssist for difficult queries was almost 40%. The results also highlight the importance of term dropping for long queries, and the improvements obtained in topical relevance when our searchers used searchAssist.

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“…"Aspect Retrieval" was explored in the interactive track of TREC-6 [Lagergren and Over 1998;Over 1997;Swan and Allan 1998], TREC-7 [Belkin et al 1998;Bodner and Chignell 1998;Fuller et al 1998;Gey et al 1998;Hersh et al 1998;Ogden et al 1998;Over 1998;Robertson et al 1998;Yang et al 1998], and TREC-8 [Beaulieu et al 1999;Belkin et al 1999;Fuller et al 1999;Hersh 1999;Hersh et al 1999;Larson 1999;Yang et al 1999]. Aspect retrieval helps information seekers retrieve documents covering as many different aspects of an information topic as possible given a limited time span.…”

Section: Aspect Retrievalmentioning

confidence: 99%

Toward a semantic granularity model for domain-specific information retrieval

Yan

Lau

Song

et al. 2011

ACM Trans. Inf. Syst.

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Both similarity-based and popularity-based document ranking functions have been successfully applied to information retrieval (IR) in general. However, the dimension of semantic granularity also should be considered for effective retrieval. In this paper, we propose a semantic granularity based IR model which takes into account the three dimensions, namely similarity, popularity, and semantic granularity, to improve domain-specific search. In particular, a concept-based computational model is developed to estimate the semantic granularity of documents with reference to a domain ontology. Semantic granularity refers to the levels of semantic detail carried by an information item. The results of our benchmark experiments confirm that the proposed semantic granularity based IR model performs significantly better than the similarity-based baseline in both a bio-medical and an agricultural domain. In addition, a series of user-oriented studies reveal that the proposed document ranking functions resemble the implicit ranking functions exercised by humans. The perceived relevance of the documents delivered by the granularity-based IR system is significantly higher than that produced by a popular search engine for a number of domain-specific search tasks. To the best of our knowledge, this is the first study regarding the application of semantic granularity to enhance domain-specific IR.

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Iterative exploration, design and evaluation of support for query reformulation in interactive information retrieval

Cited by 83 publications

References 12 publications

A Study on the Relationship between Perceived Usefulness and Satisfaction with Query Reformulation Tools

A Study on the Relationship between Perceived Usefulness and Satisfaction with Query Reformulation Tools

Interactive Search Support for Difficult Web Queries

Toward a semantic granularity model for domain-specific information retrieval

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