Book recommending method based on Markov chain

A book recommending method based on the Markov chain comprises the steps: (1) inquiring reading history data of a user, and calculating an initial state probability vector of the user based on the simple Bias algorithm, (2) inquiring a current read book and all unread books of the user, and respectively calculating a transition probability matrix from the current read book to each unread book according to like and dislike of the user on the current read book and the unread books of the user, (3) respectively calculating a state probability vector from the current read book to each unread book according to the initial state probability vector of the user and the transition probability matrix from the current reading book to each unread book, and recommending unread books to the user based on the state probability vector which includes the state probability of like of the user on the unread books. The book recommending method belongs to the field of network application technology, and is capable of recommending