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Showing 1 to 5 of 5 for “"Query refinement"”.

  1. Task-based user profiling for query refinement (toque)

    … simple needs can be satisfied by using a single query, while complicated ones require a series of queries spanning a period of time. A search task, consisting of a sequence of search queries serving the same information need, can be treated as an atomic unit for modeling user's search preferences …

    njit Repository record for Task-based user profiling for query refinement (toque) (opens in a new tab)

  2. Integrating Similarity Based Retrieval and Query Refinement in Databases

    … area is how to interactively improve the query through user interaction (query refinement). We address this problem by extending some information retrieval and machine learning techniques to affect the interpretation of similarity predicates and the query search condition itself. The …

    uiuc Repository record for Integrating Similarity Based Retrieval and Query Refinement in Databases (opens in a new tab)

  3. Database Support for Similarity Retrieval and Querying Mobile Objects

    … data representation, indexing, retrieval, and query refinement are developed. The focus of the thesis is on efficient mechanisms to support content-based retrieval and query refinement in databases. The motivation for studying similarity queries arises from applications that require dynamic …

    uiuc Repository record for Database Support for Similarity Retrieval and Querying Mobile Objects (opens in a new tab)

  4. Knowledge-based document retrieval with application to TEXPROS

    … effectiveness. With the proposed predicate-based query language, users can more precisely and accurately specify the search criteria and their knowledge about the documents to be retrieved. To assist users formulate a query, a guided search is presented as part of an intelligent user interface. …

    njit Repository record for Knowledge-based document retrieval with application to TEXPROS (opens in a new tab)

  5. Knowledge driven approaches to e-learning recommendation.

    … refining learners' queries. Using the refined query allows the search to focus on documents that contain topics which are relevant to the learner. An e-Learning recommender system is developed to evaluate the success of our approach using a collection of learner queries and a dataset of Machine …

    rgu Repository record for Knowledge driven approaches to e-learning recommendation. (opens in a new tab)