1152.Analyze user website visit pattern
We are given some website visits: the user with name username[i]
visited the website website[i]
at time timestamp[i]
.
A 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:
3 <= N = username.length = timestamp.length = website.length <= 50
1 <= username[i].length <= 10
0 <= timestamp[i] <= 10^9
1 <= website[i].length <= 10
Both
username[i]
andwebsite[i]
contain only lowercase characters.It is guaranteed that there is at least one user who visited at least 3 websites.
No user visits two websites at the same time.
Solution:
version 1: Brute Force
https://www.youtube.com/watch?v=V510Lbtrm5s Map<String, TreeMap<Integer, String>> map;
form the all 3-sequence from a user, concat is into a string (use 3 for loop)
Map<String, Integer> freqMap
String is the concat string, like "home->about->career" , Integer is the freq.
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 }
This is similar to a Amazon interview: https://leetcode.com/discuss/interview-question/420704/amazon-most-popular-page-sequence
The diff is the amazon question , the timestamp must be consecutive, like 1,2,3 2,3,4 3,4,5.
But in the question timestamp can be non-consecutive.
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