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Wyniki wyszukiwania dla: web search engines
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Features of a radial user interface to search engines
PublikacjaThe paper is concerned with a new type of user interface to search engines. Instead of presenting search results in a form of a ranked list, the results are presented in radial arrangement. In the center of the interface the most relevant web page is presented. Other web pages are located around the central one. The location of a web page depends on two factors: its relevance to the query and its content. The relevance has influence...
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Web search results clusterization with background knowledge
PublikacjaClusterization of web pages is an attractive wayfor presenting web resources. Arranging pages into groups ofsimilar topics simplifies and shorten the search process. Thispaper concerns the problem of clustering web pages and presentsour approach to this issue. Our solution is focused on findingsimilarities between documents delivered by different web searchengines. This process was accomplished by applying WordNetdictionary.
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Can Web Search Queries Predict Prices Change on the Real Estate Market?
PublikacjaThis study aims to explore whether the intensity of internet searches, according to the Google Trends search volume index (SVI), is a predictor of changes in real estate prices. The motivation of this study is the possibility to extend the understanding of the extra predictive power of Google search engine query volume of future housing price change (shift direction) by (i) the introduction of a research approach that combines...
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Mining for Enhanced Web Search
Konferencje -
ACM International Conference on Web Search and Data Mining
Konferencje -
Adaptive Algorithm for Interactive Question-based Search
PublikacjaPopular web search engines tend to improve the relevanceof their result pages, but the search is still keyword-oriented and far from "understanding" the queries' meaning. In the article we propose an interactive question-based search algorithm that might come up helpful for identifying users' intents. We describe the algorithm implemented in a form of a questions game. The stress is put mainly on the most critical aspect of this...
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Interactive Query Expansion with the Use of Clustering by Directions Algorithm
PublikacjaThis paper concerns Clustering by Directions algorithm. The algorithm introduces a novel approach to interactive query expansion. It is designed to support users of search engines in forming web search queries. When a user executes a query, the algorithm shows potential directions in which the search can be continued. This paper describes the algorithm and it presents an enhancement which reduces the computational complexity of...
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Information Retrieval with the Use of Music Clustering by Directions Algorithm
PublikacjaThis paper introduces the Music Clustering by Directions (MCBD) algorithm. The algorithm is designed to support users of query by humming systems in formulating queries. This kind of systems makes it possible to retrieve songs and tunes on the basis of a melody recorded by the user. The Music Clustering by Directions algorithm is a kind of an interactive query expansion method. On the basis of query, the algorithm provides suggestions...
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Bibliographic data on datasets affiliated to Most Wiedzy and indexed in Data Citation Index (retrieved by Web of Science service in December 2021)
Dane BadawczeThe file contains the number of datasetes published by the reserchers affiliated to Most Wiedzy and indexed in Data Citation Index provided by Web of Science. The Search was performed using the name of institution in the 'address' filed or 'group author' filed . Data retrieved and published during the '5th Open Science Conference (1-3.12.2021).
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Bibliographic data on datasets (from 2020) affiliated to Most Wiedzy and indexed in Data Citation Index (retrieved by Web of Science service in December 2021)
Dane BadawczeThe file contains the number of datasets published by the researchers affiliated to Most Wiedzy and indexed in Data Citation Index by Web of Science. The Search was perfprmed using the name of institution in the 'assress' filed or 'group author' field. Data retrieved and published during the 5th Open Science Conference (1-3.12.2021).