1. An apparatus for enriching contents of a current website, the apparatus comprising a memory and a processor, the processor configured to: obtain 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; construct multi-dimensional vectors for the extracted features according to the corpus; for a specific feature, make similarity comparison of its multi-dimensional vector and multi-dimensional vectors of other extracted features, wherein the similarity comparison comprises: calculation of mutual information between the specific feature in the corpus and each dimension of its multi-dimensional vector as a weight of each dimension; and calculation of similarities between the multi-dimensional vector of the specific feature in the corpus and the multi-dimensional vectors of the extracted features according to the weights of each dimension, and wherein, the similarities between the multi-dimensional vectors of are calculated based on Euclidean distance; and determine 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.
1. An apparatus for enriching contents of a current website, the apparatus comprising a memory and a processor, the processor configured to: obtain 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; construct multi-dimensional vectors for the extracted features according to the corpus; for a specific feature, make similarity comparison of its multi-dimensional vector and multi-dimensional vectors of other extracted features, wherein the similarity comparison comprises: calculation of mutual information between the specific feature in the corpus and each dimension of its multi-dimensional vector as a weight of each dimension; and calculation of similarities between the multi-dimensional vector of the specific feature in the corpus and the multi-dimensional vectors of the extracted features according to the weights of each dimension, and wherein, the similarities between the multi-dimensional vectors of are calculated based on Euclidean distance; and determine 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. 6. The apparatus according to claim 1 , wherein the constructed multi-dimensional vector comprises at least one or more of the following dimensions: sentimental clue of feature, including pairs of opinion words and sentimental words of a specific feature extracted from user reviews of the object, or pairs of opinion category labels and sentimental words of a specific feature, wherein opinion words with an analogous meaning are assigned with a same opinion category label; context clue, including adjectives and/or nouns and/or noun phases and/or negation words satisfying predetermined conditions around a specific feature in the user reviews of the object; and available tag, including grouping tag information assigned to a specific feature by the current website and other websites.