An analysis of effective information retrieval

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An analysis of effective information retrieval

Abstract Many prior efforts have been devoted to the basic idea that data fusion techniques can improve retrieval effectiveness. Recent work in the area suggests that many approaches, particularly multiple-evidence combinations, can be a successful means of improving the effectiveness of a system.

Unfortunately, the conditions favorable to effectiveness improvements have not been made clear. We examine popular data fusion techniques designed to achieve improvements in effectiveness and clarify the conditions required for data fusion to show improvement.

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We demonstrate that for fusion to improve effectiveness, the result sets being fused must contain a significant number of unique relevant documents.

Furthermore, we show that for this improvement to be visible, these unique relevant documents must be highly ranked. In addition, we present a comprehensive discussion on why previous assumptions about the effectiveness of multiple-evidence techniques are misleading. Detailed empirical results and analysis are provided to support our conclusions.Information retrieval is an inherently interactive process, and the users can change direction by modifying the query surrogate, the conceptual query or their understanding of their information need.

An analysis of effective information retrieval

Abstract. Semantic information retrieval provides more relevant information to the user query by performing semantic analysis. In such a scenario, knowledge representation using ontology can provide effective semantic retrieval facility which is more efficient .

INFO Social Networking Technologies (5) I&S/NW Explores today's most popular social networks, gaming applications, and messaging applications.

Examines technologies, social implications, and information structure. Focuses on logic, databases, networked delivery, identity, access, privacy. Analysis of Effective Implicit Feedback Methods David Harris Information Retrieval Spring The SMART (System for the Mechanical Analysis and Retrieval of Text) Information Retrieval System is an information retrieval system developed at Cornell University in the s.

Four basic operations in the effective use of graphic records (documents), to store information and make it available, have been listed by Hyslop: A, recording information in documents; B, storing recorded information—documentary items; C, identifying items containing information relevant to a.

Latent semantic analysis (LSA) is a technique in natural language processing, in particular distributional semantics, of analyzing relationships between a set of documents and the terms they contain by producing a set of concepts related to the documents and urbanagricultureinitiative.com assumes that words that are close in meaning will occur in similar pieces of text (the distributional hypothesis).

Improving the effectiveness of information retrieval with local context analysis