Content-Oriented Relevance Feedback in XML-IR Using the Garnata Information Retrieval System

Campos, Luis M. de; Fernández‐Luna, Juan M.; Huete, Juan F.; Martín-Dancausa, Carlos J.

doi:10.1007/978-3-642-04957-6_53

Cited by 2 publications

(3 citation statements)

References 15 publications

(12 reference statements)

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“…This new ontology is then used for each round of query expansion and modified according to the user feedback. De Campos et al [7], [9] propose probabilistic methods for reweighting and expanding both CO and CAS queries (adding terms extracted from relevant components instead of terms extracted from complete documents). Hsu et at.…”

Section: Xml Personalization Methodsmentioning

confidence: 99%

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Using Personalization to Improve XML Retrieval

Campos

Fernández‐Luna

Huete

et al. 2014

IEEE Trans. Knowl. Data Eng.

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Abstract-As the amount of information increases every day and the users normally formulate short and ambiguous queries, personalized search techniques are becoming almost a must. Using the information about the user stored in a user profile, these techniques retrieve results that are closer to the user preferences. On the other hand, the information is being stored more and more in an semi-structured way, and XML has emerged as a standard for representing and exchanging this type of data. XML search allows a higher retrieval effectiveness, due to its ability to retrieve and to show the user specific parts of the documents instead of the full document. In this paper we propose several personalization techniques in the context of XML retrieval. We try to combine the different approaches where personalization may be applied: query reformulation, reranking of results and retrieval model modification. The experimental results obtained from a user study using a parliamentary document collection support the validity of our approach.

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Section: Xml Personalization Methodsmentioning

confidence: 99%

“…This also helps to avoid the query-drift problem. Moreover, as the original query is considered more important, we will use the expanded query to rerank the original query results 7 . The basic idea is to reward SUs in the original query results that match with some SUs in the results of the expanded query.…”

Section: Rerankingmentioning

confidence: 99%

Using Personalization to Improve XML Retrieval

Campos

Fernández‐Luna

Huete

et al. 2014

IEEE Trans. Knowl. Data Eng.

Self Cite

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show abstract

“…A third approach has been proposed in (de Campos et al, 2009). The main contribution of this approach is that the system automatically selects the best part of the document to be retrieved.…”

Section: Related Workmentioning

confidence: 99%

A Content-Based Approach to Relevance Feedback in XML-Ir for Content and Structure Queries

Campos¹,

Fernández‐Luna²,

Huete³

et al. 2010

Proceedings of the International Conference on Knowledge Discovery and Information Retrieval

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Abstract:The use of structured documents following XML representation allows us to create content and structure (CAS) queries which are more specific for the user's needs. In this paper we are going to study how to enrich this kind of queries with the user feedback in order to get results closer to their needs. More formally, we are considering how to perform Relevance Feedback (RF) for CAS queries in XML Information Retrieval. Our approach maintains the same structural constraints but expands the content of the queries by adding new keywords to the original CAS query. These new terms are selected by considering their presence/absence in the jugded units. This RF method is integrated in a XML-based search engine and evaluated with the INEX 2006 and INEX 2007 collections.

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Content-Oriented Relevance Feedback in XML-IR Using the Garnata Information Retrieval System

Cited by 2 publications

References 15 publications

Using Personalization to Improve XML Retrieval

Using Personalization to Improve XML Retrieval

A Content-Based Approach to Relevance Feedback in XML-Ir for Content and Structure Queries

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