70results about How to "Sort reasonably" patented technology

The invention provides a method, an apparatus and equipment for determining a sequence of candidate items of an input method. The method comprises: firstly, an input sequence from a user is obtained by a sorting apparatus; then, according to the input sequence, a plurality of candidate items matched with the input sequence are obtained by inquiring a lexicon; and then the plurality of candidate items are sorted on the basis of weight information to obtain a sorting result, wherein the weight information is corresponding to a category to which each candidate item in the plurality of candidate items belongs; and finally, presented information is generated and provided to the user based on the sorting result. The method is advantageous in that the obtained sequence of candidate items which are matched with the input sequence is more reasonable; the user is allowed to select the candidate items desired rapidly, and the input speed of the user is improved.

The application discloses a method for determining a weighted value of search term and a method and a device for generating search results. The method for determining the search term weighted value comprises the following steps of: receiving a search request and click information input by a user to generate a search information log and saving the search information log into a database; counting the search information log saved in the database to generate a category distribution word list; extracting an attribute word list from the database and optimizing the category distribution word list and optimizing the category distribution word list; and calculating the weighted value of each search word in the category distribution word list according to the optimized category distribution word list. By applying the technical scheme, the importance of each search term in a search request input by the user can be determined more reasonably when the user searches, thus the search time of the user is shortened.

The invention discloses a hybrid cascaded SAR image change detection method based on MDS-SRM, and the method mainly solves the problem in an existing SRM algorithm that the change detection is not precise due to factors such as static order. The method comprises the steps of: 1, inputting two-time-phase single-channel SAR images, and respectively carrying out denoising processing on the images; 2, constructing logarithm ratio graphs and mean value ratio graphs for the images after the denoising, and superposing the two kinds of graphs to form dual-channel difference images; 3, merging the dual-channel difference images, and obtaining a first merging result; 4, carrying out merging again based on the first merging result, and obtaining a second merging result; and 5, carrying out ascending sorting on grey mean value of all regions in the second merging result, carrying out regional merging, and obtaining a final change detection result. According to the invention, the detection precision of change regions in the SAR images is effectively improved, and the hybrid cascaded SAR image change detection method can be used for positioning disaster areas and analyzing the expanding condition of a city.

The invention provides a method for presenting a sequence of candidate words in a computer device. The method comprises the steps of acquiring current state information of a user; sorting, according to the current state information, a plurality of candidate words corresponding to an input sequence input by the user in an input method application, and acquiring a sequence of sorted candidate words; and presenting the sequence of candidate words in the input method application. According to the method, the sequence of a plurality of candidate words corresponding to the input sequence can be adjusted according to the current state information of the user in the input method application, so that the user can rapidly select the currently needed candidate word, and the input speed of the user is greatly improved.

The invention discloses a query request processing method and device. The method comprises the first step of acquiring a first search result set matched with keywords according to the keywords after a query request carrying the keywords is received, the second step of determining an accurate matching score and a generalizing matching score of each search result relative to the keywords in the first search result set, wherein the accurate matching scores are scores at which the search results are completely matched with the keywords, and the generalizing matching scores are scores at which the search results are not completely matched with the keywords, the third step of acquiring final matching scores of all the search results relative to the keywords in the first search result set according to the accurate matching scores and the generalizing matching scores, and the fourth step of sorting the search results in the first search result set according to the sequence of the final matching scores from high to low, and obtaining and returning a second search result set. By the adoption of the technical scheme, the sorting effect of the search results is improved.

The invention discloses a search and pick-up method for the taxi-hailing and taxi-sharing passengers of an inter-city network, and relates to the field of traffic and internet. According to the method, the basic information of both parties can be checked in two directions between a taxi driver and a taxi-sharing passenger, so that no single party feels to stay in a strange environment. A carpooling website comprehensively ranks the information of taxi-sharing passengers according to the gender and the distance between the taxi driver and the departure place of each taxi-sharing passenger, and then the ranked taxi-sharing information of taxi-sharing passengers is listed and sequentially arranged. Therefore, the selection of a taxi-sharing passenger is not conducted completely dependent on the automatic matching mode by the taxi driver. Moreover, the taxi-sharing passenger can set the allowable taxi-sharing duration, and the percentage ratio duration of the passenger from a starting point to a destination. If another taxi-sharing passenger is picked up during the transferring process of a passenger to the above taxi-sharing passenger, the cost per kilometer of the passenger having a longer taxi-sharing duration is reduced. In this way, the safety and the practicability of the search and pick-up method for the taxi-hailing and taxi-sharing passengers of the inter-city network are improved.

The invention discloses a sorting method for labels in network recommendation. The method comprises the steps of determining and obtaining keywords which possibly become labels for to-be-recommended content; acquiring network data of each keyword; classifying network data sources of the keywords and adding different weights to obtain a keyword statistics result; according to the statistics result, screening the keywords and taking the screened keywords as the labels of the to-be-recommended content; and according to the statistics result, sorting the obtained labels. The invention furthermore discloses a sorting system for the labels in the network recommendation. According to the sorting method and system for the labels in the network recommendation, the network data of the keywords is subjected to weighted calculation, so that the proper keywords capable of serving as the labels can be accurately obtained and the labels can be reasonably sorted through statistics calculation.

The invention relates to a display unit and a display method for updated contents of a network community. The display unit for the updated contents comprises an index establishment module and an index service module, wherein the index establishment module establishes indexes for content objects in the network community; and the index service module receives a searching request, and returns and displays a searching result. The display method for the updated contents comprises: an index establishment step of establishing the indexes for the content objects in the network community; and a searching and display step of receiving the searching request, and returning and displaying the searching result. The updated contents in the network community can be displayed according to the characteristic needs of members.

The embodiment of the invention provides a method and device for displaying a target object sequence to a target user, and the method comprises the steps: determining the initial sorting of all targetobjects in a to-be-displayed target object sequence, and carrying out the sorting of the initial sorting from high to low according to the relevancy between all target objects and the target user; obtaining object features corresponding to the target objects respectively; inputting the object features corresponding to the target objects into a pre-trained reordering model according to an initialorder, wherein the reordering model comprises an encoder and a decoder, the encoder encodes each object feature to obtain a context representation vector corresponding to the target object sequence, and the decoder outputs reordering of each target object in the target object sequence according to the context representation vector; and displaying the target object sequence to the target user according to the reordered positions of the target objects. Through reasonable sorting of the target objects, when the target object sequence is displayed to the target user based on the sorting, maximization of user feedback is achieved.

The embodiment of the invention provides an expert recommendation method and system based on multiple data sources. The method comprises the steps of obtaining expert data of multiple data sources, and enabling the expert data to comprise an expert name field and an expert affiliated institution field; and adding a score field to each piece of expert data, and sorting the expert data from high tolow according to numerical values corresponding to the score fields, so as to obtain an expert recommendation result according to the sorted expert data. According to the embodiment of the invention,the score field is added to expert data from multiple data sources; the expert data are sorted according to the numerical value corresponding to the score field, so that the expert data sorting basedon multiple data sources is more reasonable; the accuracy of expert data sorting is improved; and subsequent expert recommendation results are more comprehensive.

The invention discloses a domain knowledge base establishing method applied to a discrete manufacturing industry production process. The domain knowledge base establishing method comprises the following steps of S1, text corpus management; S2, text preprocessing; S3, knowledge network retrieval; S4, domain knowledge base construction. According to the method, the domain knowledge base is established, and an effective sorting algorithm is adopted, so that the retrieval results in the domain knowledge base are sorted reasonably, and the retrieval results can be sorted according to relevancy, dates or sources and the like. When retrieval needs to be carried out by means of empirical data such as a word list, result arrangement is scientific and reasonable, and secondary retrieval can be carried out on retrieval results. And screening of multiple conditions is supported, and the average retrieval time is controlled within 0.5 second. Besides, the method supports retrieval of files of different formats such as PDF, word and excel, supports full-text retrieval of resources, supports retrieval in a word list and a knowledge base, calls a visualization tool and provides a visualization display result.

The embodiment of the invention provides a method and device for displaying a target object sequence to a target user. The method comprises the steps of determining the initial sequence of all targetobjects in the target object sequence to be displayed; obtaining a superposition coding vector of any target object according to the attribute feature of the target object and the position of the target object in the initial sorting; inputting each superposition coding vector into a pre-trained reordering model according to an initial order, with the reordering model comprising an encoder and a decoder, the encoder encoding each target object one by one by using a multi-head attention mechanism based on each superposition coding vector to obtain an implicit feature vector corresponding to eachtarget object, enabling the decoder to select a target object from the current unselected target objects as the decoding output of the current step by using a multi-head attention mechanism accordingto each hidden feature vector and the decoding output of the previous step; and taking the decoding output sequence of each step as the reorder of each target object. User feedback is maximized.

The invention discloses an interval intuitionistic fuzzy multi-attribute group decision supplier selection method, which comprises the following steps: firstly, gathering a decision matrix of each expert by utilizing an existing operator to form an average decision matrix, and splitting the decision matrix and the average decision matrix of each expert into a membership degree matrix, a non-membership degree matrix and a hesitance degree matrix; calculating the two-way projection values of mthe embership degree matrix and non-membership degree value hesitance degree matrix of each expert and average decision matrix by using an improved bidirectional projection formula; and finally, carrying out weighted fusion on the three projection values to solve the similarity between each expert and the group so as to determine the weight of each expert. And finally, performing group decision-making through the determined weight, and selecting an optimal supplier. According to the method, the definition and the effect of the interval intuitionistic fuzzy number are fully considered, so that the decision result is more reasonable in sequencing and optimization of suppliers.