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Information retrieval Query analysis

Query expansion in information retrieval :   What can we learn from a deep analysis of queries ?

Query expansion in information retrieval : What can we learn from a deep analysis of queries ?

... Information retrieval aims at retrieving relevant documents answering a user’s need expressed through a ...Automatic query expansion (QE) improves the precision on average even if it can decrease the ...

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Non-parametric motion activity analysis for statistical retrieval with partial query

Non-parametric motion activity analysis for statistical retrieval with partial query

... As stressed previously, our approach relies on a statistical modeling of the distribution of the local motion-related measurements. It can be regarded as an extension of texture modeling for grey level im- ages. In our ...

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Statistical Analysis to Establish the Importance of Information Retrieval Parameters

Statistical Analysis to Establish the Importance of Information Retrieval Parameters

... for query terms [Mothe and Tanguy, 2005]), term discrimina- tion (IDF [Jones, 1972]), document list homogeneity (NQC [Shtok et ...use query difficulty predictors as features for query ...a ...

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How ontology based information retrieval systems may benefit from lexical text analysis

How ontology based information retrieval systems may benefit from lexical text analysis

... document retrieval. The relevance of documents w.r.t. a query is then computed using both semantic similarity based on the conceptual model and users’ preferences through a weight distribution over ...

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Performance Analysis of Information Retrieval Systems

Performance Analysis of Information Retrieval Systems

... each query group and decided that the results would be good when they were greater than the third quartile, bad when they were lower than the first quartile and average ...

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Infrastructure and Algorithms for Information Retrieval Based On Social Network Analysis/Mining

Infrastructure and Algorithms for Information Retrieval Based On Social Network Analysis/Mining

... Sensitive query refers to a query where the user expects documents, which are both topically relevant as well as fresh [DZK + ...and information related to people ...searcher, information ...

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Annotation of Scientific Summaries for Information Retrieval.

Annotation of Scientific Summaries for Information Retrieval.

... structure analysis, automatic summarization, document ranking, term ...assisting information seekers in locating a specific category (facet) of information has rarely been addressed in the IR ...

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Browsing Information Retrieval System Results

Browsing Information Retrieval System Results

... The analysis of the evaluation resulting files can be cumbersome because it consists in one value per query and per effectiveness ...and query-related re- sults (Berto et ...various ...

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Health consumer-oriented information retrieval

Health consumer-oriented information retrieval

... three query expansion strategies are limited, even though it appears as very interesting for particular ...on query expansion for general language ...detailed analysis of the results may lead to ...

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Browsing Information Retrieval System Results

Browsing Information Retrieval System Results

... The analysis of the evaluation resulting files can be cumbersome because it consists in one value per query and per effectiveness ...and query-related re- sults (Berto et ...various ...

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On the collaboration support in Information Retrieval

On the collaboration support in Information Retrieval

... deeper analysis at the role level outlines that the model is able to improve the search experi- ence of novice by displaying document lists more specific over the search ...

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A Possibilistic Query Translation Approach for Cross-Language Information Retrieval

A Possibilistic Query Translation Approach for Cross-Language Information Retrieval

... fact, query translation approaches need training and matching models which compute the similarities (or the relevance) between words and their ...for query translation in CLIR are based on poor, uncertain ...

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A Possibilistic Query Translation Approach for Cross-Language Information Retrieval

A Possibilistic Query Translation Approach for Cross-Language Information Retrieval

... fact, query translation approaches need training and matching models which compute the similarities (or the relevance) between words and their ...for query translation in CLIR are based on poor, uncertain ...

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Bayesian models for visual information retrieval

Bayesian models for visual information retrieval

... First, it is based on a universal recognition language (the language of probabilities) that provides a computational basis for the integration of information from mult[r] ...

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Private Information Retrieval from Transversal Designs

Private Information Retrieval from Transversal Designs

... B. Motivations and results As pointed out by Yekhanin [20], “the overwhelming com- putational complexity of PIR schemes (...) currently presents the main bottleneck to their practical deployment”. Consider a public ...

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3D shape retrieval using uncertain semantic query: a preliminary study

3D shape retrieval using uncertain semantic query: a preliminary study

... Figure 1: Overview - we propose a process to go from a semantic request to a suitable 3D-shape that can be used in a retrieval machine in order to retrive 3D-shapes matching the semantic request. We present a way ...

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Relating Dependent Terms in Information Retrieval

Relating Dependent Terms in Information Retrieval

... 4.3.3 Retrieval Model Given a query , it can also be segmented into a sequence of segments , … , ...the query 爱 滋 病 防 治 (prevention and treatment of AIDS) can be segmented into 爱滋病 (AIDS) and 防治 ...

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Passage Retrieval in Log Files: An Approach Based on Query Enrichment

Passage Retrieval in Log Files: An Approach Based on Query Enrichment

... Passage Retrieval, can be difficult because of the complexity of data, log files in our ...primitive query enrichment make it possible to retrieve relevant ...

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User-Driven System-Mediated Collaborative Information Retrieval

User-Driven System-Mediated Collaborative Information Retrieval

... Two main approaches for role mining are proposed in the literature. The first one, rising from the social network perspective, relies on the analysis of the topology proper- ties of users’ network through ...

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Influence diagrams for contextual information retrieval

Influence diagrams for contextual information retrieval

... personalized information access, influence diagrams, user context 1 Introduction A key challenge in information retrieval is the use of contextual evidence within the ad-hoc ...contextual ...

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