教育集团网站建设,河南卫生基层系统网站建设,上海网络广告公司,wordpress关键词在哪里设置来源 | 搜索技术责编 | 小白Google和百度都支持输入提示功能#xff0c;辅助你快速准确的输入想要的内容。如下#xff1a;输入“五一”#xff0c;会提示“五一劳动节”等。那如何实现谷歌这样的输入提示功能呢#xff1f;分析下输入提示的功能需求当输入前面的词A#x… 来源 | 搜索技术责编 | 小白Google和百度都支持输入提示功能辅助你快速准确的输入想要的内容。如下输入“五一”会提示“五一劳动节”等。那如何实现谷歌这样的输入提示功能呢分析下输入提示的功能需求当输入前面的词A希望提示出前缀为A的所有高相关性的词。这个特性属于前缀匹配trie树被称为前缀树是一种搜索排序树很适合用作输入提示的实践。下面以python3为例使用Trie树构建输入提示服务。# Python3 program to demonstrate auto-complete # feature using Trie data structure. # Note: This is a basic implementation of Trie # and not the most optimized one. class TrieNode(): def __init__(self):# Initialising one node for trie self.children {} self.last False
class Trie(): def __init__(self):# Initialising the trie structure. self.root TrieNode() self.word_list []def formTrie(self, keys):# Forms a trie structure with the given set of strings # if it does not exists already else it merges the key # into it by extending the structure as required for key in keys: self.insert(key) # inserting one key to the trie.def insert(self, key):# Inserts a key into trie if it does not exist already. # And if the key is a prefix of the trie node, just # marks it as leaf node. node self.rootfor a in list(key): if not node.children.get(a): node.children[a] TrieNode()node node.children[a]node.last Truedef search(self, key):# Searches the given key in trie for a full match # and returns True on success else returns False. node self.root found Truefor a in list(key): if not node.children.get(a): found False breaknode node.children[a]return node and node.last and founddef suggestionsRec(self, node, word):# Method to recursively traverse the trie # and return a whole word. if node.last: self.word_list.append(word)for a,n in node.children.items(): self.suggestionsRec(n, word a)def printAutoSuggestions(self, key):# Returns all the words in the trie whose common # prefix is the given key thus listing out all # the suggestions for autocomplete. node self.root not_found False temp_word for a in list(key): if not node.children.get(a): not_found True breaktemp_word a node node.children[a]if not_found: return 0 elif node.last and not node.children: return -1self.suggestionsRec(node, temp_word)for s in self.word_list: print(s) return 1
# Driver Codekeys [五一, 五一劳动节, 五一放假安排, 五一劳动节图片, 五一劳动节图片 2020, 五一劳动节快乐, 五一晚会, 五一假期, 五一快乐,五一节快乐, 五花肉, 五行, 五行相生] # keys to form the trie structure.key 五一 # key for autocomplete suggestions.status [Not found, Found]
# creating trie objectt Trie()
# creating the trie structure with the# given set of strings.t.formTrie(keys)
# autocompleting the given key using# our trie structure.comp t.printAutoSuggestions(key)
if comp -1: print(No other strings found with this prefix\n)elif comp 0: print(No string found with this prefix\n)
# This code is contributed by amurdia输入五一输入提示结果如下结果都实现了但我们实现后的输入提示顺序跟Google有点不一样那怎么办呢一般构建输入提示的数据源都是用户输入的query词的日志数据并且会统计每个输入词的次数以便按照输入词的热度给用户提示。现在我们把日志词库加上次数来模拟Google的输入效果。日志库的查询词及个数示例如下五一劳动节 10五一劳动节图片 9五一假期 8五一劳动节快乐 7五一放假安排 6五一晚会 5五一 4五一快乐 3五一劳动节图片2020 2五一快乐 1
把输入提示的代码调整下支持查询词次数的支持# Python3 program to demonstrate auto-complete # feature using Trie data structure. # Note: This is a basic implementation of Trie # and not the most optimized one. import operatorclass TrieNode(): def __init__(self): # Initialising one node for trie self.children {} self.last False class Trie(): def __init__(self): # Initialising the trie structure. self.root TrieNode() #self.word_list [] self.word_list {} def formTrie(self, keys): # Forms a trie structure with the given set of strings # if it does not exists already else it merges the key # into it by extending the structure as required for key in keys: self.insert(key) # inserting one key to the trie. def insert(self, key): # Inserts a key into trie if it does not exist already. # And if the key is a prefix of the trie node, just # marks it as leaf node. node self.root for a in list(key): if not node.children.get(a): node.children[a] TrieNode() node node.children[a] node.last True def search(self, key): # Searches the given key in trie for a full match # and returns True on success else returns False. node self.root found True for a in list(key): if not node.children.get(a): found False break node node.children[a] return node and node.last and found def suggestionsRec(self, node, word): # Method to recursively traverse the trie # and return a whole word. if node.last: #self.word_list.append(word) ll word.split(,) if(len(ll) 2): self.word_list[ll[0]] int(ll[1]) else: self.word_list[ll[0]] 0 for a,n in node.children.items(): self.suggestionsRec(n, word a) def printAutoSuggestions(self, key): # Returns all the words in the trie whose common # prefix is the given key thus listing out all # the suggestions for autocomplete. node self.root not_found False temp_word for a in list(key): if not node.children.get(a): not_found True break temp_word a node node.children[a] if not_found: return 0 elif node.last and not node.children: return -1 self.suggestionsRec(node, temp_word) #sort sorted_d dict(sorted(self.word_list.items(), keyoperator.itemgetter(1),reverseTrue)) for s in sorted_d.keys(): print(s) return 1
# Driver Codekeys [五一,4, 五一劳动节,10, 五一放假安排,6, 五一劳动节图片,9, 五一劳动节图片 2020,2, 五一劳动节快乐,7, 五一晚会,5, 五一假期,8, 五一快乐,3,五一节快乐,1, 五花肉,0, 五行,0, 五行相生,0] # keys to form the trie structure.key 五一 # key for autocomplete suggestions.status [Not found, Found]
# creating trie objectt Trie()
# creating the trie structure with the# given set of strings.t.formTrie(keys)
# autocompleting the given key using# our trie structure.comp t.printAutoSuggestions(key)
if comp -1: print(No other strings found with this prefix\n)elif comp 0: print(No string found with this prefix\n)
# This code is contributed by amurdia输出结果跟Google一模一样总结以上是使用Trie树实践Google输入提示的功能。除了Trie树实践我们还有其他办法么搜索中有没有其他的索引能很好实现输入提示的功能呢更多阅读推荐云原生体系下的技海浮沉与理论探索如何通过 Serverless 轻松识别验证码5G与金融行业融合应用的场景探索打破“打工人”魔咒RPA 来狙击使用 SQL 语句实现一个年会抽奖程序
