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Online examination system based on JSP (with thesi
4.0
Can be run directly by using good 1.1.1 system analysis (functional design principles and objectives) landing landing the system consists of an administrator, teacher, student login. Administrator to manage the teachers and students such as add delete modify, and so on. Analysis of teachers ' main function is to database management, management, papers (such as upload, add, delete) management, test management, automated grading management. Student's main function is the online examination (timing control), query result.
sanfensan527 0 0
1
Collaborative filtering of electronic commerce
4.0
Is divided into general user and system administrator, user can in registered Shi select himself of personal like of merchandise information on its for purchased and evaluation, can according to itself consumption merchandise of history records to recommended merchandise information, system will targeted of to out for the consumers of merchandise information, here called "collaborative filter recommended", dang user registered or login yihou, recommended system will automatically according to user yiqian all of preferences merchandise information to to students recommended students should like of merchandise, Systems according to the user's past history of commodity consumption, recommending the goods he needs information content to users.
sanfensan527 0 0
1
Movie recommendation system based on collaborative
4.0
Under this system in the ANT can run movie recommendation system using recommendation algorithm based on collaborative filtering (Collaborative Filtering Recommendation). Collaborative filtering in information filtering and information systems is rapidly becoming a very popular technology. With traditional direct analysis of content-based filtering contents recommend different collaborative filtering analysis of user's interest, find similar for a specified user in the user base (interest), and combined these similar users on an evaluation of information, forming system for prediction of appetite for this information for the specified user. Movie recommendation system referenced in the Apache Mahout provides a collaborative filtering recommendation engine Taste, which implements the basic user-and content-based recommendation algorithm, and provide extension interface, allows users to easily define and implement your own algorithms.
sanfensan527 5 0
1
A simple Slope One algorithms can run
4.0
Slope one algorithms is relatively simple to achieve through similarity to the current featured products can be seen by the user in order to significantly reduce fitness (over-fitting), lifting algorithm to simplify implementation, easy Item-based collaborative filtering algorithm Slope One series was put out. Essentially, this method is an expression using the simpler form of regression ( ) and the single free parameter, rather than a linear regression between the item rating and scoring another project ( ). The free parameter is simply the average difference between the two scores. And, in some instances, it is more accurate than the linear regression methods [2], and the algorithm only needs hal
sanfensan527 0 0
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