1. A method for enriching contents of a current website, the method comprising: obtaining a corpus from the current website and other websites, and extracting object features from the corpus, wherein the corpus comprises specifications of the object and user reviews about the object; according to the corpus, constructing multi-dimensional vectors for the extracted features; for a specific feature, making similarity comparison of its multi-dimensional vector and multi-dimensional vectors of other extracted features; and determining features with similarities being higher than a predetermined threshold as a same feature, and reinforcing the current website with at least one feature which is different from those on the website and corresponding attributes of the at least one feature; wherein for a specific feature, comparing the similarity of its multi-dimensional vectors and multi-dimensional vectors of other extracted features comprises: aligning dimensions of multi-dimensional vectors of all extracted features, wherein for a specific feature, dimensions of multi-dimensional vectors of other features are treated as dimensions of the specific feature, so that each feature has the same number of dimensions; calculating mutual information between the specific feature in the corpus and each dimension of its multi-dimensional vectors as a weight of each dimension; and calculating similarities between multi-dimensional vectors of various features according to the weights, wherein similarities between multi-dimensional vectors of various features are calculated based on Euclidean distance between the multi-dimensional vectors.
14. The method according to claim 1 , wherein determining features with similarities being higher than a predetermined threshold as a same feature, and reinforcing the website with a least one feature which is different from those on the website and corresponding attributes of the feature comprises: dividing the features with similarities being higher than the predetermined threshold into a same group; and determining whether an feature of the object existing on the website belongs to one of the groups, recognizing the feature groups that do not contain any feature of the object existing on the website, and reinforcing the website with the features in the feature group and the features' corresponding attributes.