• LeetCode 1152. Analyze User Website Visit Pattern


    原题链接在这里:https://leetcode.com/problems/analyze-user-website-visit-pattern/

    题目:

    We are given some website visits: the user with name username[i] visited the website website[i] at time timestamp[i].

    3-sequence is a list of websites of length 3 sorted in ascending order by the time of their visits.  (The websites in a 3-sequence are not necessarily distinct.)

    Find the 3-sequence visited by the largest number of users. If there is more than one solution, return the lexicographically smallest such 3-sequence.

    Example 1:

    Input: username = ["joe","joe","joe","james","james","james","james","mary","mary","mary"], timestamp = [1,2,3,4,5,6,7,8,9,10], website = ["home","about","career","home","cart","maps","home","home","about","career"]
    Output: ["home","about","career"]
    Explanation: 
    The tuples in this example are:
    ["joe", 1, "home"]
    ["joe", 2, "about"]
    ["joe", 3, "career"]
    ["james", 4, "home"]
    ["james", 5, "cart"]
    ["james", 6, "maps"]
    ["james", 7, "home"]
    ["mary", 8, "home"]
    ["mary", 9, "about"]
    ["mary", 10, "career"]
    The 3-sequence ("home", "about", "career") was visited at least once by 2 users.
    The 3-sequence ("home", "cart", "maps") was visited at least once by 1 user.
    The 3-sequence ("home", "cart", "home") was visited at least once by 1 user.
    The 3-sequence ("home", "maps", "home") was visited at least once by 1 user.
    The 3-sequence ("cart", "maps", "home") was visited at least once by 1 user.

    Note:

    1. 3 <= N = username.length = timestamp.length = website.length <= 50
    2. 1 <= username[i].length <= 10
    3. 0 <= timestamp[i] <= 10^9
    4. 1 <= website[i].length <= 10
    5. Both username[i] and website[i] contain only lowercase characters.
    6. It is guaranteed that there is at least one user who visited at least 3 websites.
    7. No user visits two websites at the same time.

    题解:

    Try to get the website sequence visted by most different users. sequence here means chronological order.

    First sort the data by timestamp.

    And put user and corresponding websites into HashMap<String, List<String>>.

    For each user, find all its combination of 3 websites.

    And each sequence within this combination, check its count of different user. If count is higher or lexicographically smaller, update the max sequence.

    The max sequence is the result.

    Time Complexity: O(n ^ 3). n = username.length. sort takes O(nlogn). getCom takes O(n ^ 3).

    Space: O(n ^ 3).

    AC Java:

     1 class Solution {
     2     public List<String> mostVisitedPattern(String[] username, int[] timestamp, String[] website) {
     3         int n = username.length;
     4         List<Pair> datas = new ArrayList<>();
     5         for(int i = 0; i < n; i++){
     6             datas.add(new Pair(username[i], timestamp[i], website[i]));
     7         }
     8         
     9         Collections.sort(datas, (a, b) -> a.time - b.time);
    10         HashMap<String, List<String>> userToWebs = new HashMap<>();
    11         for(Pair data : datas){
    12             userToWebs.putIfAbsent(data.user, new ArrayList<String>());
    13             userToWebs.get(data.user).add(data.web);
    14         }
    15         
    16         HashMap<String, Integer> seqToCount = new HashMap<>();
    17         
    18         int maxCount = 0;
    19         String maxSeq = "";
    20         for(Map.Entry<String, List<String>> entry : userToWebs.entrySet()){
    21             Set<String> seqCom = getCom(entry.getValue());
    22             for(String seq : seqCom){
    23                 seqToCount.put(seq, seqToCount.getOrDefault(seq, 0) + 1);
    24                 if(seqToCount.get(seq) > maxCount){
    25                     maxCount = seqToCount.get(seq);
    26                     maxSeq = seq;
    27                 }else if(seqToCount.get(seq) == maxCount && seq.compareTo(maxSeq) < 0){
    28                     maxSeq = seq;
    29                 }    
    30             }
    31         }
    32         
    33         List<String> res = new ArrayList<>();
    34         String [] webs = maxSeq.split(",");
    35         for(String w : webs){
    36             res.add(w);
    37         }
    38         
    39         return res;
    40     }
    41     
    42     private HashSet<String> getCom(List<String> webs){
    43         HashSet<String> res = new HashSet<>();
    44         int n = webs.size();
    45         for(int i = 0; i < n - 2; i++){
    46             for(int j = i + 1; j < n - 1; j++){
    47                 for(int k = j + 1; k < n; k++){
    48                     res.add(webs.get(i) + "," + webs.get(j) + "," + webs.get(k));
    49                 }
    50             }
    51         }
    52         
    53         return res;
    54     }
    55 }
    56 
    57 class Pair{
    58     String user;
    59     int time;
    60     String web;
    61     public Pair(String user, int time, String web){
    62         this.user = user;
    63         this.time = time;
    64         this.web = web;
    65     }
    66 }
  • 相关阅读:
    solr 的全量更新与增量更新
    solr 服务器的搭建
    Mysql 问题
    App 微信支付
    App 支付宝支付
    Linux 常见命令
    [备注] 钉钉使用教程
    PARAMETER和ARGUMENT的区别
    无界面浏览器
    URLs ...
  • 原文地址:https://www.cnblogs.com/Dylan-Java-NYC/p/12356343.html
Copyright © 2020-2023  润新知