Abstract: A modular structure shower device includes a hood cover set, provided with a shower face used to output water; a back seat set, connected to a rear portion of the hood cover set through a water channel; and a handle set, connected to a lower portion of the hood cover set through the water channel. The modular structure shower device is novel in design, simple in construction, easy to install and detach, convenient to use, as such it is able to satisfy demands of various users and ensure normal operation.

Abstract: Generating ranked search results includes receiving a plurality of matching information items that match a search request, ranking at least some of the plurality of matching information items using a linear ranking model that linearly combines a first plurality of feature values to obtain a first set of ranked results, ranking at least some of the first set of ranked results using a nonlinear ranking model that nonlinearly combines a second plurality of feature values to obtain a second set of ranked results, and provide a search response based on the second set of ranked results.

Abstract: Text processing includes: segmenting received text based on a lexicon of smallest semantic units to obtain medium-grained segmentation results; merging the medium-grained segmentation results to obtain coarse-grained segmentation results, the coarse-grained segmentation results having coarser granularity than the medium-grained segmentation results; looking up in the lexicon of smallest semantic units respective search elements that correspond to segments in the medium-grained segmentation results; and forming fine-grained segmentation results based on the respective search elements, the fine-grained segmentation results having finer granularity than the medium-grained segmentation results.

Abstract: Ranking search results, comprises retrieving search results that include target strings that relate to a query string; segmenting the query string and each of the target strings; pairing segments in the query string with respective segments in the target strings to form combinations; retrieving weights that correspond to the combinations; and determining a weighted word length based on the weights corresponding to each of the target strings; and ranking the target strings based on their respective weighted word lengths. Alternatively, ranking search results includes determining a minimum weight of each inserted word with respect to segments in the query string; determining a minimum weight of each deleted word with respect to segments in the target strings; determining a total edit distance for each target string; and ranking the target strings based on the total edit distances.

Abstract: A method and an apparatus for identifying synonym and utilizing such synonym to conduct search is disclosed. The disclosed method includes: obtaining arbitrary two words to be identified; determining whether a shortest edit distance between the two words less than or equal to an edit distance threshold; determining whether the two words to be identified exist in a preset knowledge database, and if an answer is yes then searching a smallest granularity type with highest weight value for each word in the knowledge database; and if the two word have the same smallest granularity type with highest weight value, then determining such two words are synonyms, or non-synonym otherwise. The disclosed techniques greatly improve accuracy of synonym identification and guarantee effect of synonym identification.

Abstract: Text processing includes: segmenting received text based on a lexicon of smallest semantic units to obtain medium-grained segmentation results; merging the medium-grained segmentation results to obtain coarse-grained segmentation results, the coarse-grained segmentation results having coarser granularity than the medium-grained segmentation results; looking up in the lexicon of smallest semantic units respective search elements that correspond to segments in the medium-grained segmentation results; and forming fine-grained segmentation results based on the respective search elements, the fine-grained segmentation results having finer granularity than the medium-grained segmentation results.

Abstract: Text processing includes: segmenting received text based on a lexicon of smallest semantic units to obtain medium-grained segmentation results; merging the medium-grained segmentation results to obtain coarse-grained segmentation results, the coarse-grained segmentation results having coarser granularity than the medium-grained segmentation results; looking up in the lexicon of smallest semantic units respective search elements that correspond to segments in the medium-grained segmentation results; and forming fine-grained segmentation results based on the respective search elements, the fine-grained segmentation results having finer granularity than the medium-grained segmentation results.

Abstract: Ranking search results, comprises retrieving search results that include target strings that relate to a query string; segmenting the query string and each of the target strings; pairing segments in the query string with respective segments in the target strings to form combinations; retrieving weights that correspond to the combinations; and determining a weighted word length based on the weights corresponding to each of the target strings; and ranking the target strings based on their respective weighted word lengths. Alternatively, ranking search results includes determining a minimum weight of each inserted word with respect to segments in the query string; determining a minimum weight of each deleted word with respect to segments in the target strings; determining a total edit distance for each target string; and ranking the target strings based on the total edit distances.

Abstract: The present disclosure describes a search method, a search apparatus and a search system. The method includes: a data rewriting system that obtains, from a database, one or more search term candidates that are relevant to a present search term. The data rewriting system retrieves properties of the present search term and the one or more search term candidates, where the properties describe respective matching results of the present search term and the one or more search term candidates. Based on the matching results, the data rewriting system determines whether or not the present search term needs to be rewritten, and rewrites the present search term based on the matching results to provide a rewritten present search term if it is determined that the present search term needs to be rewritten. A search engine performs a search based on the rewritten present search term.

Abstract: The present disclosure discloses a method for generating a search result and an information search system. The method for generating a search result includes: receiving, by an information search system, a search request; obtaining, by searching, a plurality of pieces of matching information that match the search request; obtaining a respective amount of user response associated with each of the plurality of pieces of matching information and further obtaining a total amount of user response associated with a respective categories to which each of the plurality of pieces of matching information belongs; and ranking the plurality of pieces of information to generate a search result based on the total amount of user response associated with the respective category to which each of the plurality of pieces of matching information belongs.

Abstract: Generating ranked search results includes receiving a plurality of matching information items that match a search request, ranking at least some of the plurality of matching information items using a linear ranking model that linearly combines a first plurality of feature values to obtain a first set of ranked results, ranking at least some of the first set of ranked results using a nonlinear ranking model that nonlinearly combines a second plurality of feature values to obtain a second set of ranked results, and provide a search response based on the second set of ranked results.

Abstract: Text processing includes: segmenting received text based on a lexicon of smallest semantic units to obtain medium-grained segmentation results; merging the medium-grained segmentation results to obtain coarse-grained segmentation results, the coarse-grained segmentation results having coarser granularity than the medium-grained segmentation results; looking up in the lexicon of smallest semantic units respective search elements that correspond to segments in the medium-grained segmentation results; and forming fine-grained segmentation results based on the respective search elements, the fine-grained segmentation results having finer granularity than the medium-grained segmentation results.

Abstract: A search system includes: a data rewriting system that obtains, from a database, one or more search term candidates that are relevant to a present search query. The data rewriting system retrieves properties of the present search query and the one or more search term candidates, where the properties describe respective matching results of the present search query and the one or more search term candidates. Based at least in part on the matching results, the data rewriting system determines whether or not the present search query needs to be rewritten, and rewrites the present search query based at least in part on the matching results to provide a rewritten present search query if it is determined that the present search query needs to be rewritten. A search engine performs a search based at least in part on the rewritten present search query.

Abstract: Ranking search results, comprises retrieving search results that include target strings that relate to a query string; segmenting the query string and each of the target strings; pairing segments in the query string with respective segments in the target strings to form combinations; retrieving weights that correspond to the combinations; and determining a weighted word length based on the weights corresponding to each of the target strings; and ranking the target strings based on their respective weighted word lengths. Alternatively, ranking search results includes determining a minimum weight of each inserted word with respect to segments in the query string; determining a minimum weight of each deleted word with respect to segments in the target strings; determining a total edit distance for each target string; and ranking the target strings based on the total edit distances.

Abstract: The present disclosure discloses a method for generating a search result and an information search system. The method for generating a search result includes: receiving, by an information search system, a search request; obtaining, by searching, a plurality of pieces of matching information that match the search request; obtaining a respective amount of user response associated with each of the plurality of pieces of matching information and further obtaining a total amount of user response associated with a respective categories to which each of the plurality of pieces of matching information belongs; and ranking the plurality of pieces of information to generate a search result based on the total amount of user response associated with the respective category to which each of the plurality of pieces of matching information belongs.

Abstract: Sampling analysis includes classifying a plurality of query keywords into a plurality of query keyword subsets according to page view (PV) values associated with the plurality of query keywords, the plurality of query keywords being submitted by a plurality of users; determining a respective plurality of sample rates of a respective plurality of query keywords in a respective one of the plurality of query keyword subsets; and sampling query data in the respective one of the plurality of query keyword subsets according to the respective plurality of sample rates.

Abstract: An information retrieval method includes pre-processing a set of historical query information and processing a user query. Pre-processing a set of historical query information includes determining a plurality of semantic patterns based on a plurality of queries in the set of historical query information; establishing correspondence relationships between the plurality of semantic patterns and a plurality of filtering and ranking operations. Processing a user query comprises receiving the user query; retrieve a plurality of results in response to the user query; determining a semantic pattern that corresponds to the user query; determining a set of filtering and ranking operations that corresponds to the semantic pattern based on the correspondence relationships; and performing the set of filtering and ranking operations on the plurality of results to generate a set of filtered and ranked results.

Abstract: Generating ranked search results includes receiving a plurality of matching information items that match a search request, ranking at least some of the plurality of matching information items using a linear ranking model that linearly combines a first plurality of feature values to obtain a first set of ranked results, ranking at least some of the first set of ranked results using a nonlinear ranking model that nonlinearly combines a second plurality of feature values to obtain a second set of ranked results, and provide a search response based on the second set of ranked results.

Abstract: A method and an apparatus for identifying synonym and utilizing such synonym to conduct search is disclosed. The disclosed method includes: obtaining arbitrary two words to be identified; determining whether a shortest edit distance between the two words less than or equal to an edit distance threshold; determining whether the two words to be identified exist in a preset knowledge database, and if an answer is yes then searching a smallest granularity type with highest weight value for each word in the knowledge database; and if the two word have the same smallest granularity type with highest weight value, then determining such two words are synonyms, or non-synonym otherwise. The disclosed techniques greatly improve accuracy of synonym identification and guarantee effect of synonym identification.

Abstract: Generating ranked search results includes receiving a plurality of matching information items that match a search request, ranking at least some of the plurality of matching information items using a linear ranking model that linearly combines a first plurality of feature values to obtain a first set of ranked results, ranking at least some of the first set of ranked results using a nonlinear ranking model that nonlinearly combines a second plurality of feature values to obtain a second set of ranked results, and provide a search response based on the second set of ranked results.