Sentence examples for information retrieval search from inspiring English sources

Information Retrieval: search algorithms, information extraction, question answering, cross-lingual retrieval and multimedia retrieval.

In our previous study, the text similarity-based information retrieval search engine eTBLAST [1] was tuned with the MEDLINE abstract dataset [2] to create Déjà vu, a publicly available database of over 70,000 highly similar biomedical citations [3].

As a result the system is able to provide a rich, personalized information seeking experience for different types of patent searches, potentially exploiting techniques from diverse areas such as distributed information retrieval, semantic search, machine learning and human computer interaction.

Hence, the proposed model used the TREC_EVAL program for evaluating its retrieval performance, since it is the standard evaluation system for information retrieval and search engines.

The productivity outcomes of the subjects were measured in terms of performance on the information retrieval task, search efficiency, and the self-perception of productivity.

After an analysis of a large collection of puzzles, we decided to use an open architecture in which independent programs specialize in solving specific types of clues, drawing on ideas from information retrieval, database search, and machine learning.

While pursuing a postdoc at the National Institute of Informatics in Tokyo, Japan, an Amazon recruiter contacted him about an opening related to information retrieval and searching.

In addition to traditional information retrieval techniques, nowadays search engines have adopted methods for taking into account the social network deriving from the pattern of interconnections.

More recently, VCM icons have been used for facilitating information retrieval in a search engine targeting medical guidelines [ 21].

Recall and precision are two accepted measurements to determine the utility of an information retrieval system or search strategy [ 14].

This is the first retrieval tool in the plant community that utilizes sophisticated information retrieval techniques to search free-text fields and provide ranking of results according to similarity to the query and that utilizes domain ontologies in this manner for query expansion.