13115results about "Text database querying" patented technology

The invention may be a method of organizing pointers. The pointers may identify addresses where objects are stored. The pointers may be stored in arrays so that the pointers corresponding to the most recently selected objects are stored nearer to ends of the arrays than are the pointers corresponding to less recently selected objects. The invention may be embodied as a machine designed to carry out the method, or as a memory device that is capable of causing a computer to carry out the method.

An automated name searching system incorporates an automatic name classifier and a multi-path architecture in which different algorithms are applied based on cultural identity of the query name. The name classifier operates with a preemptive list, analysis of morphological elements, length, and linguistic rules. A name regularizer produces a character based computational representation of the name. A pronunciation equivalent representation such as an IPA language representation, and language specific rules to generate name searching keys, are used in a first pass to eliminate database entries which are obviously not matches for the query name. The methods can also be implemented as a callable set of library routines including an intelligent preprocessor and a name evaluator that produces a score comparing a query name and database name, based on a variety of user-adjustable parameters. The user-controlled parameters permit tuning of the search methodologies for specific custom applications.

A method for searching a document collection includes providing an index of terms indicating the documents in which the terms appear. A first statistical distribution of each of at least some of the terms in the index and a second statistical distribution of each of at least some of the categories are estimated a over the documents in the collection. A query including one or more of the terms and a category restriction referring to at least one of the categories is accepted. A modified term distribution is produced by operating on the first estimated statistical distribution of at least one of the terms in the query using the second estimated statistical distribution of the at least one of the categories, responsively to the category restriction. The query is applied to the index so as to return a response, in which occurrences of the at least one of the terms are scored responsively to the modified term distribution.

The embodiment of the invention provides a feature extraction method based on user behaviors. The method comprises the steps that click stream data of access to the webpage of users are obtained; according to the click stream data, the relevancy of a path through which the current user gets access to the webpage and paths through which other users get access to the webpage is calculated; X former users with the highest relevancy to the path through which the current user gets access to the webpage are extracted, wherein X is a positive integer; the comprehensive weight is configured according to a preset label of the webpage to which the X former users get access; the preset label and the comprehensive weight are adopted for calculating the relevancy between the current user and the X former users. Based on the click stream data, a digraph model, with the weight, of the click path of access to the webpage of the users is constructed, the relevancy calculation of the users is converted into the similarity calculation of a digraph with the weight at first, a webpage label bank is introduced, calculation of the relevancy of the webpage label content is fused, the click habit and the individual behavioral preference of the users are mined, and therefore the user cluster accuracy and efficiency are improved.

The invention discloses an expression input method and device based on semantic understanding, and relates to the technical field of input methods. The method comprises the following steps: obtaining text contents corresponding to an input sequence; performing word segmentation on the text contents, and extracting features of each text based on a result of the word segmentation; using features of each text to build input vectors, and substituting an emotion classification model to classify so as to determine emotion labels of the text contents; respectively obtaining expressions of each theme under the emotion labels based on the correspondence between the emotion labels and the expressions of each theme; sorting the expressions of each theme, and using the sorting result as a candidate item to be showed on a client side. According to the method and device provided by the invention, semantic recognition can be realized aiming at the text contents corresponding to the input sequence of a user to obtain the emotion labels which are the best match of semantics of the text contents, and then the expressions under each corresponding theme are obtained based on the emotion labels and are used as the candidate item to be sent to the user, so that the user can conveniently input the expressions, the expression input efficiency is improved, and a rich and wide-range expression resource is provided for the user.