Abstract: A method for training a model are provided and an information recommendation system. The method includes the following. A reference training sample is obtained. A target training sample is obtained by inputting the reference training sample into a sample model. An updated target model is obtained by training a target model according to the target training sample. A target recommendation task is processed according to the updated target model, where the target recommendation task is a recommendation task for one or more target items to be recommended.

Abstract: A method for processing fusion data and an information recommendation system are provided. The method includes the follows. The information recommendation system obtains a plurality of heterogeneous data sources. The information recommendation system obtains a unified evaluation index of each heterogeneous data source, by processing the plurality of heterogeneous data sources through the value-model set. The information recommendation system obtains a loss quantitative evaluation index of the fusion-strategy model. The information recommendation system obtains a fusion sorting recommendation result of the plurality of heterogeneous data sources, by inputting the unified evaluation index of each heterogeneous data source and the loss quantitative evaluation index to the fusion-strategy model.

Abstract: A method for training a model are provided and an information recommendation system. The method includes the following. A reference training sample is obtained. A target training sample is obtained by inputting the reference training sample into a sample model. An updated target model is obtained by training a target model according to the target training sample. A target recommendation task is processed according to the updated target model, where the target recommendation task is a recommendation task for one or more target items to be recommended.

Abstract: A method for processing fusion data and an information recommendation system are provided. The method includes the follows. The information recommendation system obtains a plurality of heterogeneous data sources. The information recommendation system obtains a unified evaluation index of each heterogeneous data source, by processing the plurality of heterogeneous data sources through the value-model set. The information recommendation system obtains a loss quantitative evaluation index of the fusion-strategy model. The information recommendation system obtains a fusion sorting recommendation result of the plurality of heterogeneous data sources, by inputting the unified evaluation index of each heterogeneous data source and the loss quantitative evaluation index to the fusion-strategy model.

Abstract: Techniques for Chinese name matching are described. A Chinese name is received and is romanized into a Mandarin Pinyin representation. The Mandarin Pinyin representation of the Chinese name is matched against a set of Romanized Chinese names originating from several different Chinese character names. In response to finding a potential match between the Mandarin Pinyin representation and Romanized Chinese name, the original Chinese script for the Romanized Chinese name is retrieved. A native script comparison is applied between the received Chinese name and the original Chinese script for the Romanized Chinese name to obtain a match score. The native script comparison includes character-by-character comparison, character variant look-up, and/or consideration of name component misalignments. The obtained match score is used as a filter to reduce false positives that are generated in the matching of the Mandarin Pinyin representation against the set of Romanized Chinese names.

Abstract: Techniques for Chinese name matching are described. A Chinese name is received and is romanized into a Mandarin Pinyin representation. The Mandarin Pinyin representation of the Chinese name is matched against a set of Romanized Chinese names originating from several different Chinese character names. In response to finding a potential match between the Mandarin Pinyin representation and Romanized Chinese name, the original Chinese script for the Romanized Chinese name is retrieved. A native script comparison is applied between the received Chinese name and the original Chinese script for the Romanized Chinese name to obtain a match score. The native script comparison includes character-by-character comparison, character variant look-up, and/or consideration of name component misalignments. The obtained match score is used as a filter to reduce false positives that are generated in the matching of the Mandarin Pinyin representation against the set of Romanized Chinese names.

Abstract: Chinese name transliteration is described. A Chinese name including a surname followed by a given name is received. The received Chinese name is parsed into a surname and a given name by: identifying any dual-character surnames in the received Chinese name, by referencing a list of known Chinese surnames; identifying any single-character surnames in the received Chinese name, by referencing the list of known Chinese surnames; and identifying, among the remaining characters in the received Chinese name, any characters not belonging to a dual-character or a single-character surname as a given name. The identified surname and the identified given name are transliterated into a Mandarin Pinyin representation. The Mandarin Pinyin representation of the surname and the given name is normalized into a pre-determined representation.

Abstract: Chinese name transliteration is described. A Chinese name including a surname followed by a given name is received. The received Chinese name is parsed into a surname and a given name by: identifying any dual-character surnames in the received Chinese name, by referencing a list of known Chinese surnames; identifying any single-character surnames in the received Chinese name, by referencing the list of known Chinese surnames; and identifying, among the remaining characters in the received Chinese name, any characters not belonging to a dual-character or a single-character surname as a given name. The identified surname and the identified given name are transliterated into a Mandarin Pinyin representation. The Mandarin Pinyin representation of the surname and the given name is normalized into a pre-determined representation.

Abstract: A similarity between character strings is assessed by identifying first and second character strings as candidate similar character strings, determining a frequency of occurrence for at least one of the first and second character strings from a collection of character strings, and designating the first and second character strings as similar based on the determined frequency of occurrence.

Abstract: A similarity between character strings is assessed by identifying first and second character strings as candidate similar character strings, determining a frequency of occurrence for at least one of the first and second character strings from a collection of character strings, and designating the first and second character strings as similar based on the determined frequency of occurrence.

Abstract: A similarity between character strings is assessed by identifying first and second character strings as candidate similar character strings, determining a frequency of occurrence for at least one of the first and second character strings from a collection of character strings, and designating the first and second character strings as similar based on the determined frequency of occurrence.

Abstract: A similarity between character strings is assessed by identifying first and second character strings as candidate similar character strings, determining a frequency of occurrence for at least one of the first and second character strings from a collection of character strings, and designating the first and second character strings as similar based on the determined frequency of occurrence.

Abstract: Techniques for Chinese name matching are described. A Chinese name is received and is romanized into a Mandarin Pinyin representation. The Mandarin Pinyin representation of the Chinese name is matched against a set of Romanized Chinese names originating from several different Chinese character names. In response to finding a potential match between the Mandarin Pinyin representation and Romanized Chinese name, the original Chinese script for the Romanized Chinese name is retrieved. A native script comparison is applied between the received Chinese name and the original Chinese script for the Romanized Chinese name to obtain a match score. The native script comparison includes character-by-character comparison, character variant look-up, and/or consideration of name component misalignments. The obtained match score is used as a filter to reduce false positives that are generated in the matching of the Mandarin Pinyin representation against the set of Romanized Chinese names.

Abstract: Chinese name transliteration is described. A Chinese name including a surname followed by a given name is received. The received Chinese name is parsed into a surname and a given name by: identifying any dual-character surnames in the received Chinese name, by referencing a list of known Chinese surnames; identifying any single-character surnames in the received Chinese name, by referencing the list of known Chinese surnames; and identifying, among the remaining characters in the received Chinese name, any characters not belonging to a dual-character or a single-character surname as a given name. The identified surname and the identified given name are transliterated into a Mandarin Pinyin representation. The Mandarin Pinyin representation of the surname and the given name is normalized into a pre-determined representation.

Abstract: Chinese name transliteration is described. A Chinese name including a surname followed by a given name is received. The received Chinese name is parsed into a surname and a given name by: identifying any dual-character surnames in the received Chinese name, by referencing a list of known Chinese surnames; identifying any single-character surnames in the received Chinese name, by referencing the list of known Chinese surnames; and identifying, among the remaining characters in the received Chinese name, any characters not belonging to a dual-character or a single-character surname as a given name. The identified surname and the identified given name are transliterated into a Mandarin Pinyin representation. The Mandarin Pinyin representation of the surname and the given name is normalized into a pre-determined representation.

Abstract: Techniques for Chinese name matching are described. A Chinese name is received and is romanized into a Mandarin Pinyin representation. The Mandarin Pinyin representation of the Chinese name is matched against a set of Romanized Chinese names originating from several different Chinese character names. In response to finding a potential match between the Mandarin Pinyin representation and Romanized Chinese name, the original Chinese script for the Romanized Chinese name is retrieved. A native script comparison is applied between the received Chinese name and the original Chinese script for the Romanized Chinese name to obtain a match score. The native script comparison includes character-by-character comparison, character variant look-up, and/or consideration of name component misalignments. The obtained match score is used as a filter to reduce false positives that are generated in the matching of the Mandarin Pinyin representation against the set of Romanized Chinese names.