Hitachi, Ltd.

Yoshiki Niwa

Makoto Iwayama

Shingo Nishioka

Akihiko Takano

Atsuko Yamaguchi

Kazuhiro Ono

Toru Hisamitsu

Osamu Imaichi

Hiroki Sato

Kiyohiro Obara

Shigeo Sumino

Masakazu Fujio

Toshinori Miyoshi

Miaomei Lei

Hirofumi Sakurai

Hiroko Ohi

Provided is a system which controls information presented to a user referring to contents including a plurality of elements, outputs the contents to an output device, obtains bioinformation of the user at a time when each of the elements included in the contents is output to the output device, calculates an understanding level of the user with respect to each of the elements included in the contents, based on each piece of the obtained bioinformation, determines the understanding type based on the calculated understanding level and a difficulty level indicated by the difficulty level information of the elements of which the understanding level is equal to or lower than a first threshold value, in a case where it is determined that the user does not understand the contents based on the calculated understanding level, and outputs the presented information which corresponds to the determined understanding type to the output device.

System and method for controlling information presented to user referring to contents

A document retrieval is performed with similarities between documents in numeric data taken into consideration. To this end, generated is a set E of intervals in which each element of a set D of numeric values representing a feature A is included in any one of the intervals. Each numeric value in each document is indexed by assigning, with 1, an interval including an element x of the set D, and with 0, an interval without the element x. Each document data including numeric values is indexed by indexing its text part with term frequencies, and by indexing its numeric-value part with the above-described numeric value indexing scheme. By use of indices thus created for each of the document data, similarities between the document data are calculated using a vector space model or a probability model, and the document data are presented in order of similarity.

Document retrieval system and document retrieval method

This invention aims to provide an efficient means of performing a document search wherein relevance between plural document databases is examined. A summary making module and a search module are provided to document databases, and these are connected to a network as a server. A client obtains a relevant set of documents in a specified document database via this summary from a set of documents in the specified document database. The summary obtained is sent to another server, and a search is performed according to the summary in a document database in the server to which the summary is transferred.

Method of searching documents and a service for searching documents

The setting of a search condition is supported. Databasesandstore use frequency information about search conditions, co-occurrence frequency information between search conditions, relationship information unique to a particular field, use history information for each search condition, and simultaneous use history information. Based on a search condition that is already set, the database are referred to so as to calculate the recommendation level of other search conditions, and search conditions that have high recommendation levels and that are likely to be used simultaneously with the already-set search condition are arranged at conspicuous positions. The recommendation level is calculated based on the value of a co-occurrence frequency between search conditions, the history of simultaneous setting, or the estimated number of search results, for example.

Search apparatus

Ordering is properly performed for document databases registered in an associative search server. In an associative search server capable of performing an associative search by correlating a plurality of document databases, the history of the associative search is stored as an associative search recording table by associative search recording table storing means. By using this associative search recording table, a showing order of document databases presented by document database selecting means is properly set by showing order changing means. Alternatively, by registration fee calculating means, calculation is properly carried out as to registration fees of the document database registered in the associative search server.

Document retrieval system and search server

A system for displaying the results of a search provided by one of two different search systems enabling continuous searching. One search system includes a search takeover data production command used to output search takeover data articles from the search. The other search system includes a search takeover data reading command used to read search takeover data. A document identifier correspondence table associates the identifiers specified in the search takeover data. When a user clicks a search system transfer instruction button in one search system, the search takeover data producing command is executed to produce search takeover data which is passed to the other search system. The latter search system regards the list of identifiers of articles which was passed by the search takeover data reading command as the search results, and thus operates continuously.

Search system

A known method for selecting words (or word sequences), which is an important aspect of information retrieval, involves the problems of inability to eliminate high-frequency common words and of often arbitrary setting of the threshold value for dividing important and unimportant words. These problems are solved by normalizing the difference between the word distribution in a subset of all documents containing a word to be extracted (or a subset of said document set) and the word distribution in the set of all documents with the number of words in the said subset of all documents containing the word as a parameter, and the accuracy of support information retrieval is thereby enhanced.

Word importance calculation method, document retrieving interface, word dictionary making method

Achieving efficient analysis of search results, which is required for the examination of search queries, by listing up both title information of a retrieved document group and the whole information. By arranging search results display area and topic word display area adjacently on a retrieval assisting interface, the title information and topic information can be browsed by users; by arranging search results analysis means such as mark title button for emphasizing documents containing designated topic words, along with mark topic word button for emphasizing topic words contained in a designated document, users can analyze search results readily from various standpoints.

Document retrieval assisting method and system for the same and document retrieval service using the same

A document retrieval assistance method has a user interface with an interactive guidance function. In response to a search query, search results including a title list of retrieved documents is displayed alongside a separate display of topic words extracted from the retrieved documents which reflect the search results. In particular, a topic-word graph is displayed alongside a list of titles of the retrieved documents and the interface enables browsing of the documents using the topic words. Further, the interface permits emphasized display of the list of titles of the documents through direct selection of the titles displayed in the list or through selection of the topic words. Further, an associative search can be executed using a selected document to refine the original search results and develop updated displays of the search results and topic words contained in the documents.

Computer program embodied on a computer-readable medium for a document retrieval service that retrieves documents with a retrieval service agent computer

Document retrieval assisting method, system and service using closely displayed areas for titles and topics

Because the whole image of a retrieved document group cannot be viewed, next retrieval request after one retrieval attempt has been determined only perceptually. Therefore, displaying a means for displaying topic words on a display means, extracting a group of words characteristically appearing in a retrieved document group on request from a user, further examining the relation between topic words, and preparing a graph using the topic words as nodes, the whole image of the retrieval results is displayed on the means for displaying topic words. Additionally, by selecting an interesting word or a word with no interest on a displayed graph of topic words, the user can design a subsequent retrieval strategy effectively.

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Hatoyama, Japan

Yoshiki Niwa