Intelligent book list recommendation method for book management
A technology of book management and recommendation method, which is applied in the field of intelligent book list recommendation for book management, which can solve the problems of incomplete titles of recommended books, small number of recommended books, and difficulty in finding books, so as to achieve convenient management, easy filling, and reduced effect of difficulty
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Embodiment 1
[0031] First of all, the database is established, and all the books in the library are collected through the book name, book keywords and the location of the book in the library. After the data collection of all books is completed, the data modeling is carried out, and the whole library is established through data modeling. Book database, and then carry out keyword search, enter the name of the book through the search engine or enter the keyword you want to find the book, use the search engine, inverted index and related scoring algorithm to obtain the book information stored in the library's overall book database, And at the same time, book information is obtained through the library titles on the Internet, the book library of the publisher and the high-quality library recommended by the teacher. During the search process, the recommended value will be calculated by weight. After the keyword is searched for the book, the weight calculation will be performed. The weight calculat...
Embodiment 2
[0033] In embodiment one, add following operation:
[0034] In step 1, after the book information is collected, a second check is performed on the book placement location and the book location, and it is found that the book placement location is different from the book collection information, and changes must be made immediately.
[0035] In step 2, the overall book database of the library, the titles of the library on the Internet and the book library of the publishing house are all sources of search data.
[0036]First of all, the database is established, and all the books in the library are collected through the book name, book keywords and the location of the book in the library. After the data collection of all books is completed, the data modeling is carried out, and the whole library is established through data modeling. Book database, after book collection, conduct a second check on the book placement and book location, and find that the book placement is different fro...
Embodiment 3
[0038] In embodiment two, add following operation:
[0039] In step 3, the ranking of recommended weights of circulation books is used as a weight reference. The first is 20 points, and then the score is calculated according to the book circulation and the highest book circulation*100%*20. When the teacher recommends books, it can be used as The reference for buying books can also be used as a recommendation for readers. The weight calculation parameters are completed according to the total number of book recommendations. The total number of recommendations is the first, and the weight is 30 points. After that, the number of book recommendations / the highest number of book recommendations * 100% * 30 Calculate the score, calculate the weight of the book once a day, and sort in descending order of the score, and save it in the database as the recommendation of the day.
[0040] First of all, the database is established, and all the books in the library are collected through th...
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