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For the phonemon for over fitting in the current recommendation system, put forward using the fuzzy scatter difference to the recommendation algorithm. The algorithm avoids the robustness in original collaborative filtering recommendation system for only calculating the user's similarities. The Experimental results show that the system has good accuracy and efficiency of the recommendation under the...
Point out the fuzziness and uncertainty of user preferences. Put forward the advantage of using cloud model to calculate the user preferences. Introduce the cloud model and construct the model of user preferences based on cloud model. Design one new algorithm for calculating the user preferences with time weight. The experiments show the personalized recommend based on the new user preferences has...
Point out that the document is too similarity in the return document sets in current information retrieval system. Put forward the new definition of mutual independence in the documents. Then, construct the mutual independence in the documents. Design one new algorithm for information retrieval. The method effectively overcomes the shortcomings of the original query system. The experiment express...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.