1. A computer-executable method for estimating a similarity level between a set of documents, the method comprising: extracting, from a set of documents, a set of semantic entities, wherein a respective semantic entity includes a meaningful sequence of characters; determining, for the respective semantic entity, a predefined word group to which the respective semantic entity belongs, wherein the predefined word group indicates a content category associated with the respective semantic entity; computing an inverse document frequency (IDF) value for the respective semantic entity; assigning a weight to the computed IDF value based on the predefined word group to which the respective semantic entity belongs; calculating the similarity level sim(A,B) between a respective document A in the set of documents and a target document B, based on weighted IDF values associated with one or more of the extracted semantic entities, wherein calculating the similarity level involves calculating: sim â¡ ( A , B ) = 2 * âˆ‘ e âˆˆ A â‹‚ B â¢ ( idf e * w e ) âˆ‘ e âˆˆ A â¢ ( idf e * w e ) + âˆ‘ e âˆˆ B â¢ ( idf e * w e ) , wherein idf e indicates an IDF value for an entity e, and wherein w e indicates a weight for entity e; and producing a result indicating documents that are similar to the target document based on the calculated similarity level.
1. A computer-executable method for estimating a similarity level between a set of documents, the method comprising: extracting, from a set of documents, a set of semantic entities, wherein a respective semantic entity includes a meaningful sequence of characters; determining, for the respective semantic entity, a predefined word group to which the respective semantic entity belongs, wherein the predefined word group indicates a content category associated with the respective semantic entity; computing an inverse document frequency (IDF) value for the respective semantic entity; assigning a weight to the computed IDF value based on the predefined word group to which the respective semantic entity belongs; calculating the similarity level sim(A,B) between a respective document A in the set of documents and a target document B, based on weighted IDF values associated with one or more of the extracted semantic entities, wherein calculating the similarity level involves calculating: sim â¡ ( A , B ) = 2 * âˆ‘ e âˆˆ A â‹‚ B â¢ ( idf e * w e ) âˆ‘ e âˆˆ A â¢ ( idf e * w e ) + âˆ‘ e âˆˆ B â¢ ( idf e * w e ) , wherein idf e indicates an IDF value for an entity e, and wherein w e indicates a weight for entity e; and producing a result indicating documents that are similar to the target document based on the calculated similarity level. 5. The method of claim 1 , further comprising: selecting a document; calculating similarity levels of other documents in relation to the selected document; and displaying the other documents in an order based on the calculated similarities of the other documents in relation to the selected document.