Abstract: The present disclosure discloses a method, apparatus, and server for information recommendation. Search behavior data, browsing behavior data, and click behavior data on recommended content of a specified user in a forum are acquired. A preprocessing on the search behavior data, the browsing behavior data, and the click behavior data on recommended content is performed respectively to obtain a first recommendation result, a second recommendation result, and a third recommendation result. Distribution and integration on the first recommendation result, the second recommendation result, and the third recommendation result are performed according to weights to obtain recommended content to be recommended to the specified user. Search behavior data, browsing behavior data, and click behavior data on recommended content are taken into comprehensive consideration, data used in recommendation is enriched, and accuracy of recommendation is improved.

Abstract: A speech recognition error correction method and apparatus are provided. The method includes obtaining an original word sequence outputted by an automatic speech recognition (ASR) engine; generating a plurality of candidate word sequences, each candidate word sequence being obtained by substituting one or more subsequence of the original word sequence with one or more corresponding replacement sequence based on a phonetic distance between the subsequence and the replacement sequence; and selecting, among the candidate word sequences, a target word sequence according to generation probabilities of the candidate word sequences. The phonetic distance between the subsequence and the replacement sequence is obtained based on phonetic features of a first phoneme sequence of the subsequence and a second phoneme sequence of the replacement sequence, and the first phoneme sequence and the second phoneme sequence are formed by phonemes used in the ASR engine.

Abstract: A method for speech recognition dictation and correction, and a related system are provided. The disclosed method is implemented in a system including a terminal and a server, which includes transforming a speech signal received by the terminal into a speech recognition result. A speech setting is determined according to the speech recognition result. In response to an explicit command setting in which the speech recognition result contains a trigger word, the speech recognition result is decomposed into the trigger word and a command. A first speech recognition result is modified to form an edited speech recognition input according to the command. The edited speech recognition input is displayed on a user interface of the terminal. Accordingly, the speech recognition correction is achieved by speech interaction.

Abstract: One aspect of the present disclosure provides a method for speech recognition dictation and correction by spelling input, which is implemented in a system including a terminal. The method includes transforming a speech signal received by the terminal into a speech recognition result. Whether the speech recognition result includes spelling input is determined, and a setting is identified according to a first speech recognition result and the speech recognition result including the spelling input. In response to a correction setting in which the spelling input includes a correction content, the first speech recognition result is modified according to the correction content into an edited speech recognition input, and the edited speech recognition input is displayed on a user interface of the terminal. Accordingly, the speech recognition correction is achieved by spelling input. Another aspect of the present application provides related system and storage medium implementing embodiments of the disclosed method.

Abstract: A method, a user interface, and a device for audio-based emoji input are provided. The method includes: converting an audio signal input by a user into text through an automatic speech recognition (ASR) module; through natural language understanding and based on the text, recognizing one or more emojis satisfying an input intention of the user; requesting a confirmation of input of a recognized emoji or selection of an emoji from a plurality of recognized emojis; receiving a user response; and based on the user response, executing a corresponding operation.

Abstract: The present disclosure discloses a method, apparatus, and server for information recommendation. Search behavior data, browsing behavior data, and click behavior data on recommended content of a specified user in a forum are acquired. A preprocessing on the search behavior data, the browsing behavior data, and the click behavior data on recommended content is performed respectively to obtain a first recommendation result, a second recommendation result, and a third recommendation result. Distribution and integration on the first recommendation result, the second recommendation result, and the third recommendation result are performed according to weights to obtain recommended content to be recommended to the specified user. Search behavior data, browsing behavior data, and click behavior data on recommended content are taken into comprehensive consideration, data used in recommendation is enriched, and accuracy of recommendation is improved.

Abstract: The present disclosure discloses a method, apparatus, and server for information recommendation. Search behavior data, browsing behavior data, and click behavior data on recommended content of a specified user in a forum are acquired. A preprocessing on the search behavior data, the browsing behavior data, and the click behavior data on recommended content is performed respectively to obtain a first recommendation result, a second recommendation result, and a third recommendation result. Distribution and integration on the first recommendation result, the second recommendation result, and the third recommendation result are performed according to weights to obtain recommended content to be recommended to the specified user. Search behavior data, browsing behavior data, and click behavior data on recommended content are taken into comprehensive consideration, data used in recommendation is enriched, and accuracy of recommendation is improved.

Abstract: Provided is a user question processing method and system. The method includes: extracting first feature information from a user question; calculating the similarity between the first feature and second feature information of each of at least two websites; posting the question on at least one of the at least two websites according to the similarity. The solution of the embodiment can be applied to a website providing a question and answer service, and the website can post a received user question on another website related to the concerned field of the question, thereby enlarging the scope of the user information exchange.

Abstract: According to one embodiment of the present invention, there is provided a method of selecting an expansion for an acronym in a document of a set of linked documents. The method comprises obtaining for each occurrence of the acronym in the set of linked documents one or more possible acronym expansions and an associated probability that the one or more possible acronym expansions is the correct acronym expansion. The further comprises identifying a sub-set of documents from the set of linked documents in which the acronym occurs. The method further comprises recalculating the associated probabilities for a first occurrence of an acronym in the sub-set of documents based, in part, on the associated probabilities of other occurrences of the acronym in the sub-set of documents and the distance between the first occurrence and the other occurrences.

Abstract: The present disclosure discloses a method, apparatus, and server for information recommendation. Search behavior data, browsing behavior data, and click behavior data on recommended content of a specified user in a forum are acquired. A preprocessing on the search behavior data, the browsing behavior data, and the click behavior data on recommended content is performed respectively to obtain a first recommendation result, a second recommendation result, and a third recommendation result. Distribution and integration on the first recommendation result, the second recommendation result, and the third recommendation result are performed according to weights to obtain recommended content to be recommended to the specified user. Search behavior data, browsing behavior data, and click behavior data on recommended content are taken into comprehensive consideration, data used in recommendation is enriched, and accuracy of recommendation is improved.

Abstract: Provided is a user question processing method and system. The method includes: extracting first feature information from a user question; calculating the similarity between the first feature and second feature information of each of at least two websites; posting the question on at least one of the at least two websites according to the similarity. The solution of the embodiment can be applied to a website providing a question and answer service, and the website can post a received user question on another website related to the concerned field of the question, thereby enlarging the scope of the user information exchange.

Abstract: According to one embodiment of the present invention, there is provided a method of selecting an expansion for an acronym in a document of a set of linked documents. The method comprises obtaining for each occurrence of the acronym in the set of linked documents one or more possible acronym expansions and an associated probability that the one or more possible acronym expansions is the correct acronym expansion. The further comprises identifying a sub-set of documents from the set of linked documents in which the acronym occurs. The method further comprises recalculating the associated probabilities for a first occurrence of an acronym in the sub-set of documents based, in part, on the associated probabilities of other occurrences of the acronym in the sub-set of documents and the distance between the first occurrence and the other occurrences.