\u76f8\u6bd4\u4f20\u7edf\u7684\u57fa\u4e8e\u5173\u952e\u8bcd\u5339\u914d\u7684\u641c\u7d22\uff0c\u5411\u91cf\u641c\u7d22\u80fd\u6355\u6349\u5230\u66f4\u6df1\u5c42\u6b21\u7684\u8bed\u4e49\u76f8\u4f3c\u6027\u3002\u5373\u4f7f\u4e24\u4e2a\u89c6\u9891\u6807\u9898\u6ca1\u6709\u5171\u540c\u8bcd\u6c47\uff0c\u4f46\u5982\u679c\u5185\u5bb9\u76f8\u4f3c\uff0c\u5b83\u4eec\u7684\u5411\u91cf\u4e5f\u4f1a\u63a5\u8fd1\uff0c\u5c31\u80fd\u88ab\u63a8\u8350\u51fa\u6765\u3002<\/p>\n\n\n\n
\u60f3\u8c61\u4e00\u4e0b\uff0c\u4f60\u6709\u4e00\u6bb5\u6587\u5b57\uff0c\u6bd4\u5982\u4e00\u53e5\u8bdd\uff1a\u201c\u6211\u559c\u6b22\u5728\u9633\u5149\u660e\u5a9a\u7684\u65e5\u5b50\u91cc\u53bb\u516c\u56ed\u6563\u6b65\u201d\u3002<\/p>\n\n\n\n
[0.2, -0.5, 0.8, 0.1, ...]<\/code>\u3002\u8fd9\u7ec4\u6570\u5b57\u7ec4\u6210\u7684\u5217\u8868\u5c31\u662f\u4e00\u4e2a\u5411\u91cf\u3002\u8fd9\u4e2a\u5411\u91cf\u7684\u6bcf\u4e2a\u7ef4\u5ea6\uff080.2, -0.5...\uff09\u90fd\u7f16\u7801\u4e86\u8fd9\u53e5\u8bdd\u7684\u67d0\u4e9b\u8bed\u4e49\u4fe1\u606f\u3002<\/li>\n<\/ul>\n\n\n\n\u90a3\u4e48\uff0c\u4e3a\u4ec0\u4e48\u9700\u8981\u5411\u91cf\u5462\uff1f<\/h1>\n\n\n\n
\u56e0\u4e3a\u8ba1\u7b97\u673a\u5f88\u64c5\u957f\u5904\u7406\u6570\u5b57\uff0c\u4f46\u4e0d\u592a\u5bb9\u6613\u76f4\u63a5\u7406\u89e3\u6587\u5b57\u3001\u56fe\u7247\u3001\u58f0\u97f3\u7684\u201c\u542b\u4e49\u201d\u3002\u5411\u91cf\u63d0\u4f9b\u4e86\u4e00\u79cd\u65b9\u5f0f\uff0c\u628a\u590d\u6742\u7684\u975e\u7ed3\u6784\u5316\u6570\u636e\uff08\u5982\u6587\u672c\u3001\u56fe\u50cf\uff09\u6620\u5c04\u5230\u4e00\u4e2a\u9ad8\u7ef4\u7684\u6570\u5b57\u7a7a\u95f4\uff08\u5411\u91cf\u7a7a\u95f4\uff09\u91cc\u3002\u5728\u8fd9\u4e2a\u7a7a\u95f4\u91cc\uff0c\u76f8\u4f3c\u7684\u4e1c\u897f\uff08\u6bd4\u5982\u610f\u601d\u76f8\u8fd1\u7684\u53e5\u5b50\uff0c\u6216\u8005\u89c6\u89c9\u4e0a\u76f8\u4f3c\u7684\u56fe\u7247\uff09\u5b83\u4eec\u7684\u5411\u91cf\u5c31\u4f1a\u6bd4\u8f83\u63a5\u8fd1\uff08\u5728\u7a7a\u95f4\u91cc\u7684\u8ddd\u79bb\u6bd4\u8f83\u8fd1\uff09\uff0c\u4e0d\u76f8\u4f3c\u7684\u4e1c\u897f\u5411\u91cf\u5c31\u4f1a\u6bd4\u8f83\u8fdc\u3002<\/p>\n\n\n\n
\u5b9e\u73b0\u6b65\u9aa4<\/h1>\n\n\n\n\n- \u6570\u636e\u51c6\u5907:\n
\n- \u7528\u6237\u753b\u50cf\u5411\u91cf\u5316: \u7cfb\u7edf\u6536\u96c6\u7528\u6237\u7684\u884c\u4e3a\u6570\u636e\uff08\u770b\u4e86\u54ea\u4e9b\u89c6\u9891\u3001\u70b9\u8d5e\u4e86\u54ea\u4e9b\u3001\u505c\u7559\u65f6\u95f4\u7b49\uff09\uff0c\u7136\u540e\u7528\u673a\u5668\u5b66\u4e60\u6a21\u578b\u628a\u8fd9\u4e9b\u884c\u4e3a\u62bd\u8c61\u6210\u4e00\u4e2a\u6570\u5b57\u5217\u8868\uff0c\u6bd4\u5982\u00a0
[0.7, -0.2, 0.5, ...]<\/code>\uff08128\u7ef4\uff09\uff0c\u8fd9\u5c31\u662f\u7528\u6237\u5174\u8da3\u5411\u91cf\u3002<\/li>\n\n\n\n- \u89c6\u9891\u5185\u5bb9\u5411\u91cf\u5316: \u7cfb\u7edf\u5206\u6790\u89c6\u9891\u7684\u5143\u6570\u636e\u3001\u89c6\u89c9\u7279\u5f81\u3001\u97f3\u9891\u7279\u5f81\u7b49\uff0c\u4e5f\u7528\u6a21\u578b\u5c06\u5176\u8f6c\u6362\u6210\u4e00\u4e2a\u6570\u5b57\u5217\u8868\uff0c\u6bd4\u5982\u00a0
[0.6, -0.1, 0.4, ...]<\/code>\uff08128\u7ef4\uff09\uff0c\u8fd9\u5c31\u662f\u89c6\u9891\u5185\u5bb9\u5411\u91cf\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n- \u5b58\u50a8\u5230 Elasticsearch: \u00a0 (\u7559\u610f\u4e0b\u5b57\u6bb5\u7c7b\u578b\u662fdense_vector)<\/li>\n\n\n\n
- \u6bcf\u4e2a\u7528\u6237\u7684\u6587\u6863\u91cc\uff0c\u9664\u4e86\u5b58\u00a0
userId<\/code>,\u00a0username<\/code>\uff0c\u8fd8\u4f1a\u5b58\u4e00\u4e2a\u00a0interestVector<\/code>\u00a0\u5b57\u6bb5\uff0c\u7c7b\u578b\u662f\u00a0dense_vector<\/code>\uff0c\u503c\u5c31\u662f\u4e0a\u9762\u7b97\u51fa\u6765\u7684\u5411\u91cf\u3002<\/li>\n\n\n\n- \u6bcf\u4e2a\u89c6\u9891\u7684\u6587\u6863\u91cc\uff0c\u9664\u4e86\u5b58\u00a0
videoId<\/code>,\u00a0title<\/code>,\u00a0category<\/code>\uff0c\u8fd8\u4f1a\u5b58\u4e00\u4e2a\u00a0contentVector<\/code>\u00a0\u5b57\u6bb5\uff0c\u7c7b\u578b\u4e5f\u662f\u00a0dense_vector<\/code>\uff0c\u503c\u662f\u89c6\u9891\u7684\u5411\u91cf\u3002<\/li>\n\n\n\n- \u6267\u884c\u63a8\u8350 (\u5411\u91cf\u641c\u7d22):\u00a0 \u00a0 3.1 \u5f53\u7528\u6237 A \u8bf7\u6c42\u63a8\u8350\u65f6\uff0c\u7cfb\u7edf\u83b7\u53d6\u5230 A \u7684\u00a0
interestVector<\/code>\uff08\u67e5\u8be2\u5411\u91cf\uff09\u3002\u00a0\u00a0 \u00a0 3.2 \u7cfb\u7edf\u5411 Elasticsearch \u53d1\u8d77\u4e00\u4e2a\u00a0knn<\/code>\u00a0\u641c\u7d22\u8bf7\u6c42\uff1a\u00a0\u00a0 \u00a0 \u00a0 \u00a0 \u00a03.2.1 \u5728\u00a0videos<\/code>\u00a0\u7d22\u5f15\u91cc\u641c\u7d22\u3002\u00a0 \u00a0 \u00a0 \u00a0 \u00a03.2.2 \u4f7f\u7528\u5b57\u6bb5\u00a0contentVector<\/code>\u00a0\u8fdb\u884c kNN \u641c\u7d22\u3002\u00a0\u00a0 \u00a0 \u00a0 \u00a0 \u00a03.2.3 \u67e5\u8be2\u5411\u91cf\u662f\u7528\u6237 A \u7684\u00a0interestVector<\/code>\u3002\u00a0\u00a0 \u00a0 \u00a0 \u00a0 \u00a03.2.4 \u8981\u6c42\u8fd4\u56de\u6700\u76f8\u4f3c\u7684\u00a0k<\/code>\u00a0\u4e2a\u89c6\u9891 (k=10<\/code>)\u3002\u00a0\u00a0 \u00a0 3.3 \u00a0 Elasticsearch \u5185\u90e8\u5229\u7528\u4f18\u5316\u7b97\u6cd5\uff0c\u5feb\u901f\u8ba1\u7b97\u5e76\u627e\u51fa\u90a3\u4e9b\u00a0contentVector<\/code>\u00a0\u548c\u7528\u6237 A \u7684\u00a0interestVector<\/code>\u00a0\u6700\u63a5\u8fd1\u7684\u89c6\u9891\u6587\u6863\u3002\u00a0https:\/\/wxa.wxs.qq.com\/tmpl\/oc\/base_tmpl.html\u00a0 \u00a0 \u00a03.4 \u00a0 Elasticsearch \u8fd4\u56de\u8fd9\u4e9b\u6700\u76f8\u4f3c\u7684\u89c6\u9891\u6587\u6863\u7ed9\u4f60\u7684\u7528\u6237\uff0c\u5b8c\u6210\u63a8\u8350\u3002<\/li>\n<\/ol>\n\n\n\n\u4ee3\u7801\u5b9e\u64cd<\/h1>\n\n\n\n <!-- Spring Boot Data Elasticsearch \u6a21\u5757\uff0c\u63d0\u4f9b\u4e0e ES \u7684\u96c6\u6210 -->
<dependency>
<groupId>org.springframework.boot<\/groupId>
<artifactId>spring-boot-starter-data-elasticsearch<\/artifactId>
<\/dependency>
<!-- Elasticsearch Java API Client\uff0c\u7528\u4e8e\u6267\u884c\u66f4\u590d\u6742\u7684\u539f\u751f ES \u67e5\u8be2 -->
<dependency>
<groupId>co.elastic.clients<\/groupId>
<artifactId>elasticsearch-java<\/artifactId>
<version>8.13.2<\/version> <!-- \u7248\u672c\u9700\u4e0e\u4f60\u7684 Elasticsearch \u670d\u52a1\u7248\u672c\u5339\u914d -->
<\/dependency>
<dependency>
<groupId>com.fasterxml.jackson.core<\/groupId>
<artifactId>jackson-databind<\/artifactId>
<\/dependency><\/code><\/pre>\n\n\n\napplication.properties<\/h1>\n\n\n\n# \u914d\u7f6e Elasticsearch \u8fde\u63a5\u4fe1\u606f
elasticsearch.host=localhost
elasticsearch.port=9200
# \u5f00\u542f Elasticsearch \u5ba2\u6237\u7aef\u7684\u7f51\u7edc\u5c42\u65e5\u5fd7\uff0c\u7528\u4e8e\u8c03\u8bd5
# logging.level.org.springframework.data.elasticsearch.client.WIRE=trace<\/code><\/pre>\n\n\n\nElasticsearch\u5ba2\u6237\u7aef\u914d\u7f6e\u7c7b<\/h1>\n\n\n\npackage com.example.config;
import co.elastic.clients.elasticsearch.ElasticsearchClient;
import co.elastic.clients.json.jackson.JacksonJsonpMapper;
import co.elastic.clients.transport.ElasticsearchTransport;
import co.elastic.clients.transport.rest_client.RestClientTransport;
import org.apache.http.HttpHost;
import org.elasticsearch.client.RestClient;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.elasticsearch.client.ClientConfiguration;
import org.springframework.data.elasticsearch.client.elc.ElasticsearchConfiguration;
import org.springframework.data.elasticsearch.repository.config.EnableElasticsearchRepositories;
@Configuration
@EnableElasticsearchRepositories(basePackages = \"com.example.repository\")
publicclass ElasticsearchConfig extends ElasticsearchConfiguration {
@Value(\"${elasticsearch.host}\")
private String host;
@Value(\"${elasticsearch.port}\")
privateint port;
\/**
* \u914d\u7f6e Spring Data Elasticsearch \u4f7f\u7528\u7684\u5ba2\u6237\u7aef\u8fde\u63a5\u3002
* \u8fd9\u662f Spring Data Elasticsearch \u63a8\u8350\u7684\u65b9\u5f0f\u3002
* @return ClientConfiguration \u5bf9\u8c61
*\/<\/em>
@Override
public ClientConfiguration clientConfiguration() {
return ClientConfiguration.builder()
.connectedTo(host + \":\" + port)
.build();
}
\/**
* \u914d\u7f6e Elasticsearch Java API Client (\u9ad8\u7ea7\u5ba2\u6237\u7aef)\u3002
* \u5f53\u9700\u8981\u6267\u884c Spring Data Elasticsearch \u4e0d\u76f4\u63a5\u652f\u6301\u7684\u590d\u6742\u67e5\u8be2\uff08\u5982 kNN\uff09\u65f6\u4f7f\u7528\u3002
* @return ElasticsearchClient \u5b9e\u4f8b
*\/<\/em>
@Bean
public ElasticsearchClient elasticsearchClient() {
\/\/ 1. \u521b\u5efa\u4f4e\u7ea7 REST \u5ba2\u6237\u7aef<\/em>
RestClient restClient = RestClient.builder(
new HttpHost(host, port)).build();
\/\/ 2. \u4f7f\u7528 Jackson \u4f5c\u4e3a JSON \u6620\u5c04\u5668\u521b\u5efa\u4f20\u8f93\u5c42<\/em>
ElasticsearchTransport transport = new RestClientTransport(
restClient, new JacksonJsonpMapper());
\/\/ 3. \u521b\u5efa\u5e76\u8fd4\u56de\u9ad8\u7ea7\u5ba2\u6237\u7aef<\/em>
returnnew ElasticsearchClient(transport);
}
}<\/code><\/pre>\n\n\n\n\u7528\u6237\u5b9e\u4f53\u7c7b<\/h1>\n\n\n\npackage com.example.model;
import org.springframework.data.annotation.Id;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.annotations.Field;
import org.springframework.data.elasticsearch.annotations.FieldType;
import java.util.List;
@Document(indexName = \"users\")
publicclass User {
@Id
private String id;
@Field(type = FieldType.Text) \/\/ \u6620\u5c04\u4e3a ES Text \u7c7b\u578b\uff0c\u9002\u5408\u5168\u6587\u641c\u7d22<\/em>
private String username;
\/**
* \u7528\u6237\u5174\u8da3\u5411\u91cf\u5b57\u6bb5\u3002
* \u5173\u952e\u6ce8\u89e3\uff1a
* - type = FieldType.Dense_Vector: \u6307\u5b9a\u4e3a\u5bc6\u96c6\u5411\u91cf\u7c7b\u578b\uff0cES \u7528\u4e8e\u5411\u91cf\u641c\u7d22\u3002
* - dims = 128: \u6307\u5b9a\u5411\u91cf\u7684\u7ef4\u5ea6\u3002\u5fc5\u987b\u4e0e\u5b9e\u9645\u751f\u6210\u7684\u5411\u91cf\u7ef4\u5ea6\u4e00\u81f4\u3002
* \u8fd9\u4e2a\u5b57\u6bb5\u5c06\u7528\u4e8e\u5b58\u50a8\u7528\u6237\u5174\u8da3\u7684\u6570\u503c\u5316\u8868\u793a\u3002
*\/<\/em>
@Field(type = FieldType.Dense_Vector, dims = 128)
private List<Float> interestVector;
public String getId() {
return id;
}
public void setId(String id) {
this.id = id;
}
public String getUsername() {
return username;
}
public void setUsername(String username) {
this.username = username;
}
public List<Float> getInterestVector() {
return interestVector;
}
public void setInterestVector(List<Float> interestVector) {
this.interestVector = interestVector;
}
@Override
public String toString() {
return\"User{\" +
\"id='\" + id + '\\'' +
\", username='\" + username + '\\'' +
\", interestVector=\" + interestVector +
'}';
}
}<\/code><\/pre>\n\n\n\n\u89c6\u9891\u5b9e\u4f53\u7c7b<\/h1>\n\n\n\npackage com.example.model;
import org.springframework.data.annotation.Id;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.annotations.Field;
import org.springframework.data.elasticsearch.annotations.FieldType;
import java.util.List;
@Document(indexName = \"videos\")
publicclass Video {
@Id
private String id;
@Field(type = FieldType.Text) \/\/ \u89c6\u9891\u6807\u9898<\/em>
private String title;
@Field(type = FieldType.Keyword) \/\/ \u89c6\u9891\u5206\u7c7b\uff0cKeyword \u7c7b\u578b\u9002\u5408\u7cbe\u786e\u5339\u914d\u548c\u805a\u5408<\/em>
private String category;
\/**
* \u89c6\u9891\u5185\u5bb9\u7279\u5f81\u5411\u91cf\u5b57\u6bb5\u3002
* \u540c\u6837\u4f7f\u7528 Dense_Vector \u7c7b\u578b\u3002
* \u91cd\u8981\uff1a\u7ef4\u5ea6\u5fc5\u987b\u4e0e User \u7684 interestVector \u7ef4\u5ea6\u76f8\u540c\uff0c\u624d\u80fd\u8fdb\u884c\u5411\u91cf\u76f8\u4f3c\u5ea6\u8ba1\u7b97\u3002
*\/<\/em>
@Field(type = FieldType.Dense_Vector, dims = 128)
private List<Float> contentVector;
public String getId() {
return id;
}
public void setId(String id) {
this.id = id;
}
public String getTitle() {
return title;
}
public void setTitle(String title) {
this.title = title;
}
public String getCategory() {
return category;
}
public void setCategory(String category) {
this.category = category;
}
public List<Float> getContentVector() {
return contentVector;
}
public void setContentVector(List<Float> contentVector) {
this.contentVector = contentVector;
}
@Override
public String toString() {
return\"Video{\" +
\"id='\" + id + '\\'' +
\", title='\" + title + '\\'' +
\", category='\" + category + '\\'' +
\", contentVector=\" + contentVector +
'}';
}
}<\/code><\/pre>\n\n\n\n\u5411\u91cf\u670d\u52a1\u7c7b<\/h1>\n\n\n\npackage com.example.service;
import org.springframework.stereotype.Service;
import java.util.List;
import java.util.Random;
import java.util.stream.Collectors;
import java.util.stream.DoubleStream;
@Service
publicclass VectorService {
\/\/ \u5b9a\u4e49\u5411\u91cf\u7ef4\u5ea6\uff0c\u5fc5\u987b\u4e0e\u6a21\u578b\u8f93\u51fa\u548c ES \u5b57\u6bb5\u5b9a\u4e49\u4e00\u81f4<\/em>
privatestaticfinalint VECTOR_DIMENSIONS = 128;
\/\/ \u7528\u4e8e\u751f\u6210\u6a21\u62df\u5411\u91cf\u7684\u968f\u673a\u6570\u751f\u6210\u5668<\/em>
privatefinal Random random = new Random();
\/**
* \u751f\u6210\u7528\u6237\u5174\u8da3\u5411\u91cf\u3002
* \u5728\u771f\u5b9e\u7cfb\u7edf\u4e2d\uff0c\u8fd9\u4e2a\u5411\u91cf\u5e94\u8be5\u7531\u673a\u5668\u5b66\u4e60\u6a21\u578b\u6839\u636e\u7528\u6237\u7684\u5386\u53f2\u884c\u4e3a\uff08\u89c2\u770b\u3001\u70b9\u8d5e\u3001\u8bc4\u8bba\u7b49\uff09
* \u52a8\u6001\u8ba1\u7b97\u5f97\u51fa\u3002\u8fd9\u91cc\u4f7f\u7528\u968f\u673a\u6570\u6a21\u62df\u3002
* @return \u4ee3\u8868\u7528\u6237\u5174\u8da3\u7684\u5411\u91cf List<Float>
*\/<\/em>
public List<Float> generateUserInterestVector() {
\/\/ \u751f\u6210 128 \u4e2a -1.0 \u5230 1.0 \u4e4b\u95f4\u7684\u968f\u673a\u53cc\u7cbe\u5ea6\u6570\uff0c\u5e76\u8f6c\u6362\u4e3a Float List<\/em>
return random.doubles(VECTOR_DIMENSIONS, -1.0, 1.0)
.boxed() \/\/ \u5c06 double \u8f6c\u4e3a Double<\/em>
.map(Double::floatValue) \/\/ \u5c06 Double \u8f6c\u4e3a Float<\/em>
.collect(Collectors.toList()); \/\/ \u6536\u96c6\u5230 List<\/em>
}
\/**
* \u751f\u6210\u89c6\u9891\u5185\u5bb9\u7279\u5f81\u5411\u91cf\u3002
* \u5728\u771f\u5b9e\u7cfb\u7edf\u4e2d\uff0c\u8fd9\u4e2a\u5411\u91cf\u5e94\u7531\u5185\u5bb9\u7406\u89e3\u6a21\u578b\u6839\u636e\u89c6\u9891\u7684\u5143\u6570\u636e\u3001\u89c6\u89c9\u3001\u97f3\u9891\u7279\u5f81\u7b49
* \u8ba1\u7b97\u5f97\u51fa\u3002\u8fd9\u91cc\u540c\u6837\u4f7f\u7528\u968f\u673a\u6570\u6a21\u62df\u3002
* @return \u4ee3\u8868\u89c6\u9891\u5185\u5bb9\u7684\u5411\u91cf List<Float>
*\/<\/em>
public List<Float> generateVideoContentVector() {
return random.doubles(VECTOR_DIMENSIONS, -1.0, 1.0)
.boxed()
.map(Double::floatValue)
.collect(Collectors.toList());
}
}<\/code><\/pre>\n\n\n\n\u63a8\u8350\u670d\u52a1\u7c7b<\/h1>\n\n\n\npackage com.example.service;
import co.elastic.clients.elasticsearch.ElasticsearchClient;
import co.elastic.clients.elasticsearch.core.SearchRequest;
import co.elastic.clients.elasticsearch.core.SearchResponse;
import co.elastic.clients.elasticsearch.core.search.Hit;
import com.example.model.Video;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.elasticsearch.client.elc.NativeQuery;
import org.springframework.data.elasticsearch.core.ElasticsearchOperations;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
@Service
publicclass RecommendationService {
\/\/ \u6ce8\u5165 Elasticsearch Java API Client\uff0c\u7528\u4e8e\u6267\u884c kNN \u7b49\u9ad8\u7ea7\u67e5\u8be2<\/em>
@Autowired
private ElasticsearchClient elasticsearchClient;
\/\/ \u6ce8\u5165 Spring Data Elasticsearch \u64cd\u4f5c\u6a21\u677f\uff0c\u7528\u4e8e\u66f4\u4fbf\u6377\u7684\u6570\u636e\u64cd\u4f5c\u548c\u90e8\u5206\u67e5\u8be2<\/em>
@Autowired
private ElasticsearchOperations elasticsearchOperations;
\/**
* \u4f7f\u7528 Elasticsearch \u7684 k-Nearest Neighbor (kNN) \u641c\u7d22\u529f\u80fd
* \u6765\u67e5\u627e\u4e0e\u7528\u6237\u5174\u8da3\u5411\u91cf\u6700\u76f8\u4f3c\u7684\u89c6\u9891\u3002
* \u8fd9\u662f Elasticsearch 8.x+ \u63a8\u8350\u7684\u9ad8\u6548\u5411\u91cf\u76f8\u4f3c\u5ea6\u641c\u7d22\u65b9\u5f0f\u3002
*
* @param userInterestVector \u7528\u6237\u5f53\u524d\u7684\u5174\u8da3\u5411\u91cf\u3002
* @param k \u9700\u8981\u8fd4\u56de\u7684\u63a8\u8350\u89c6\u9891\u6570\u91cf\u3002
* @return \u63a8\u8350\u7684\u89c6\u9891\u5217\u8868\u3002
*\/<\/em>
public List<Video> recommendVideosKnn(List<Float> userInterestVector, int k) {
try {
\/\/ 1. \u6784\u5efa kNN \u641c\u7d22\u8bf7\u6c42<\/em>
SearchRequest searchRequest = SearchRequest.of(s -> s
.index(\"videos\") \/\/ \u6307\u5b9a\u8981\u5728\u54ea\u4e2a\u7d22\u5f15\u4e2d\u641c\u7d22<\/em>
.size(k) \/\/ \u8bbe\u7f6e\u8fd4\u56de\u7ed3\u679c\u7684\u6570\u91cf<\/em>
.knn(knn -> knn \/\/ \u914d\u7f6e kNN \u67e5\u8be2\u53c2\u6570<\/em>
.field(\"contentVector\") \/\/ \u6307\u5b9a\u8fdb\u884c kNN \u641c\u7d22\u7684\u5411\u91cf\u5b57\u6bb5\uff08\u89c6\u9891\u7684\u7279\u5f81\u5411\u91cf\uff09<\/em>
.queryVector(userInterestVector) \/\/ \u63d0\u4f9b\u67e5\u8be2\u5411\u91cf\uff08\u7528\u6237\u7684\u5174\u8da3\u5411\u91cf\uff09<\/em>
.k(k) \/\/ \u6307\u5b9a\u8981\u8fd4\u56de\u7684\u6700\u90bb\u8fd1\u5411\u91cf\u6570\u91cf<\/em>
.numCandidates(k * 10) \/\/ \u641c\u7d22\u7684\u5019\u9009\u96c6\u5927\u5c0f\uff0c\u901a\u5e38\u5927\u4e8e k \u4ee5\u63d0\u9ad8\u7cbe\u5ea6\uff0c\u4f46\u4f1a\u5f71\u54cd\u6027\u80fd<\/em>
)
);
\/\/ 2. \u6267\u884c\u641c\u7d22\u8bf7\u6c42\uff0c\u5e76\u6307\u5b9a\u8fd4\u56de\u7684\u6587\u6863\u7c7b\u578b\u4e3a Video.class<\/em>
SearchResponse<Video> response = elasticsearchClient.search(searchRequest, Video.class);
\/\/ 3. \u5904\u7406\u54cd\u5e94\u7ed3\u679c\uff0c\u63d0\u53d6 Video \u5bf9\u8c61<\/em>
return response.hits().hits().stream()
.map(Hit::source) \/\/ \u83b7\u53d6\u6bcf\u4e2a\u547d\u4e2d\u6587\u6863\u7684 source (\u5373 Video \u5bf9\u8c61)<\/em>
.filter(video -> video != null) \/\/ \u8fc7\u6ee4\u6389 null \u503c<\/em>
.collect(Collectors.toList()); \/\/ \u6536\u96c6\u5230 List<\/em>
} catch (IOException e) {
\/\/ \u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u5e94\u4f7f\u7528\u65e5\u5fd7\u6846\u67b6\uff08\u5982 SLF4J\uff09\u8bb0\u5f55\u9519\u8bef<\/em>
System.err.println(\"\u6267\u884c kNN \u641c\u7d22\u65f6\u53d1\u751f\u9519\u8bef: \" + e.getMessage());
e.printStackTrace();
returnnew ArrayList<>(); \/\/ \u53d1\u751f\u9519\u8bef\u65f6\u8fd4\u56de\u7a7a\u5217\u8868<\/em>
}
}
\/**
* \uff08\u5907\u9009\u65b9\u6848\uff09\u4f7f\u7528 script_score \u67e5\u8be2\u7ed3\u5408\u4f59\u5f26\u76f8\u4f3c\u5ea6\u811a\u672c
* \u6765\u8ba1\u7b97\u5411\u91cf\u76f8\u4f3c\u5ea6\u5e76\u8fdb\u884c\u6392\u5e8f\u3002
* \u6b64\u65b9\u6cd5\u66f4\u7075\u6d3b\uff0c\u4f46\u901a\u5e38\u6bd4 kNN \u641c\u7d22\u6162\uff0c\u5c24\u5176\u5728\u5927\u6570\u636e\u96c6\u4e0a\u3002
*
* @param userInterestVector \u7528\u6237\u5f53\u524d\u7684\u5174\u8da3\u5411\u91cf\u3002
* @param k \u9700\u8981\u8fd4\u56de\u7684\u63a8\u8350\u89c6\u9891\u6570\u91cf\u3002
* @return \u63a8\u8350\u7684\u89c6\u9891\u5217\u8868\u3002
*\/<\/em>
public List<Video> recommendVideosScriptScore(List<Float> userInterestVector, int k) {
try {
\/\/ 1. \u6784\u5efa\u7528\u4e8e\u8ba1\u7b97\u4f59\u5f26\u76f8\u4f3c\u5ea6\u7684 Painless \u811a\u672c<\/em>
\/\/ 'cosineSimilarity' \u662f Elasticsearch \u63d0\u4f9b\u7684\u5185\u7f6e\u51fd\u6570<\/em>
\/\/ 'params.query_vector' \u662f\u6211\u4eec\u4f20\u5165\u7684\u67e5\u8be2\u5411\u91cf<\/em>
\/\/ 'contentVector' \u662f\u6587\u6863\u4e2d\u7684\u5411\u91cf\u5b57\u6bb5<\/em>
String scriptSource = \"cosineSimilarity(params.query_vector, 'contentVector') + 1.0\";
\/\/ +1.0 \u662f\u4e3a\u4e86\u5c06\u8303\u56f4\u4ece [-1, 1] \u8f6c\u6362\u4e3a [0, 2]\uff0c\u786e\u4fdd\u5206\u6570\u4e3a\u6b63<\/em>
\/\/ 2. \u51c6\u5907\u811a\u672c\u53c2\u6570<\/em>
Map<String, Object> scriptParams = new HashMap<>();
scriptParams.put(\"query_vector\", userInterestVector);
\/\/ 3. \u6784\u5efa script_score \u67e5\u8be2<\/em>
co.elastic.clients.elasticsearch._types.query_dsl.Query query = co.elastic.clients.elasticsearch._types.query_dsl.Query.of(q -> q
.scriptScore(ss -> ss
.query(q2 -> q2.matchAll(m -> m)) \/\/ \u5bf9\u6240\u6709\u6587\u6863\u8fdb\u884c\u8bc4\u5206<\/em>
.script(s -> s
.inline(i -> i
.source(scriptSource) \/\/ \u5185\u8054\u811a\u672c\u6e90\u7801<\/em>
.params(scriptParams) \/\/ \u811a\u672c\u53c2\u6570<\/em>
)
)
)
);
\/\/ 4. \u4f7f\u7528 Spring Data Elasticsearch \u7684 NativeQuery \u5305\u88c5\u67e5\u8be2<\/em>
NativeQuery nativeQuery = NativeQuery.builder()
.withQuery(query) \/\/ \u8bbe\u7f6e\u67e5\u8be2\u6761\u4ef6<\/em>
.withPageable(org.springframework.data.domain.PageRequest.of(0, k)) \/\/ \u8bbe\u7f6e\u5206\u9875<\/em>
.build();
\/\/ 5. \u6267\u884c\u641c\u7d22<\/em>
SearchHits<Video> searchHits = elasticsearchOperations.search(nativeQuery, Video.class);
\/\/ 6. \u5904\u7406\u7ed3\u679c<\/em>
return searchHits.getSearchHits().stream()
.map(SearchHit::getContent) \/\/ \u83b7\u53d6\u5185\u5bb9 (Video \u5bf9\u8c61)<\/em>
.collect(Collectors.toList());
} catch (Exception e) {
System.err.println(\"\u6267\u884c script_score \u641c\u7d22\u65f6\u53d1\u751f\u9519\u8bef: \" + e.getMessage());
e.printStackTrace();
returnnew ArrayList<>();
}
}
}<\/code><\/pre>\n\n\n\nRecommendation Controller<\/h1>\n\n\n\npackage com.example.controller;
import com.example.model.Video;
import com.example.service.RecommendationService;
import com.example.service.VectorService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;
import java.util.List;
@RestController
@RequestMapping(\"\/api\/recommendations\")
publicclass RecommendationController {
@Autowired
private RecommendationService recommendationService; \/\/ \u6ce8\u5165\u63a8\u8350\u670d\u52a1<\/em>
@Autowired
private VectorService vectorService; \/\/ \u6ce8\u5165\u5411\u91cf\u670d\u52a1<\/em>
\/**
* GET \/api\/recommendations\/user\/{userId}
* \u4e3a\u6307\u5b9a\u7528\u6237\u83b7\u53d6\u89c6\u9891\u63a8\u8350\u3002
*
* @param userId \u7528\u6237ID\uff0c\u4ece\u8def\u5f84\u53d8\u91cf\u83b7\u53d6\u3002
* @param k \u63a8\u8350\u6570\u91cf\uff0c\u4ece\u67e5\u8be2\u53c2\u6570\u83b7\u53d6\uff0c\u9ed8\u8ba4\u4e3a 5\u3002
* @return \u63a8\u8350\u7684\u89c6\u9891\u5217\u8868\u3002
*\/<\/em>
@GetMapping(\"\/user\/{userId}\")
public List<Video> getRecommendationsForUser(
@PathVariable String userId, \/\/ \u8def\u5f84\u53d8\u91cf {userId}
@RequestParam(defaultValue = \"5\") int k) { \/\/ \u67e5\u8be2\u53c2\u6570 ?k=...<\/em>
\/\/ --- \u6a21\u62df\u83b7\u53d6\u7528\u6237\u5411\u91cf ---<\/em>
\/\/ \u5728\u771f\u5b9e\u5e94\u7528\u4e2d\uff0c\u8fd9\u91cc\u5e94\u8be5\u662f\uff1a<\/em>
\/\/ Optional<User> userOpt = userRepository.findById(userId);<\/em>
\/\/ if (userOpt.isPresent()) {<\/em>
\/\/ List<Float> userVector = userOpt.get().getInterestVector();<\/em>
\/\/ } else { ... \u5904\u7406\u7528\u6237\u672a\u627e\u5230 ... }<\/em>
\/\/ --- \u6f14\u793a\uff1a\u4e3a\u7528\u6237\u751f\u6210\u4e00\u4e2a\u968f\u673a\u7684\u5174\u8da3\u5411\u91cf ---<\/em>
List<Float> userInterestVector = vectorService.generateUserInterestVector();
System.out.println(\"\u4e3a\u7528\u6237 \" + userId + \" \u751f\u6210\u7684\u5174\u8da3\u5411\u91cf (\u524d5\u7ef4): \" +
userInterestVector.subList(0, Math.min(5, userInterestVector.size())) + \"...\");
\/\/ \u8c03\u7528\u63a8\u8350\u670d\u52a1\u7684 kNN \u65b9\u6cd5\u83b7\u53d6\u63a8\u8350<\/em>
return recommendationService.recommendVideosKnn(userInterestVector, k);
}
\/**
* POST \/api\/recommendations\/vector
* \u76f4\u63a5\u4f7f\u7528\u63d0\u4f9b\u7684\u5411\u91cf\u83b7\u53d6\u63a8\u8350\u3002\u9002\u7528\u4e8e\u6d4b\u8bd5\u6216\u5ba2\u6237\u7aef\u5df2\u751f\u6210\u5411\u91cf\u7684\u573a\u666f\u3002
*
* @param vector \u8bf7\u6c42\u4f53\u4e2d\u7684\u5411\u91cf\u6570\u636e\u3002
* @param k \u63a8\u8350\u6570\u91cf\u3002
* @return \u63a8\u8350\u7684\u89c6\u9891\u5217\u8868\u3002
*\/<\/em>
@PostMapping(\"\/vector\")
public List<Video> getRecommendationsByVector(
@RequestBody List<Float> vector, \/\/ \u4ece\u8bf7\u6c42\u4f53\u8bfb\u53d6\u5411\u91cf
@RequestParam(defaultValue = \"5\") int k) {
\/\/ \u76f4\u63a5\u4f7f\u7528\u4f20\u5165\u7684\u5411\u91cf\u8fdb\u884c\u63a8\u8350<\/em>
return recommendationService.recommendVideosKnn(vector, k);
}
}<\/code><\/pre>\n\n\n\n\u63d0\u4f9b\u7528\u4e8e\u586b\u5145\u6d4b\u8bd5\u6570\u636e\u7684 API \u63a5\u53e3<\/h1>\n\n\n\npackage com.example.controller;
import com.example.model.User;
import com.example.model.Video;
import com.example.repository.UserRepository;
import com.example.repository.VideoRepository;
import com.example.service.VectorService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;
import java.util.stream.IntStream;
@RestController
@RequestMapping(\"\/api\/data\")
publicclass DataManagementController {
@Autowired
private UserRepository userRepository; \/\/ \u7528\u6237\u6570\u636e\u8bbf\u95ee<\/em>
@Autowired
private VideoRepository videoRepository; \/\/ \u89c6\u9891\u6570\u636e\u8bbf\u95ee<\/em>
@Autowired
private VectorService vectorService; \/\/ \u5411\u91cf\u670d\u52a1<\/em>
\/**
* POST \/api\/data\/populate
* \u586b\u5145 Elasticsearch \u7d22\u5f15\u7684\u7aef\u70b9\u3002
* \u521b\u5efa 100 \u4e2a\u7528\u6237\u548c 1000 \u4e2a\u89c6\u9891\uff0c\u5e76\u4e3a\u5b83\u4eec\u751f\u6210\u968f\u673a\u5411\u91cf\u3002
* \u4e3b\u8981\u7528\u4e8e\u6d4b\u8bd5\u548c\u6f14\u793a\u76ee\u7684\u3002
*\/<\/em>
@PostMapping(\"\/populate\")
public String populateData() {
\/\/ 1. \u6e05\u7a7a\u73b0\u6709\u6570\u636e\uff08\u53ef\u9009\uff0c\u4e3a\u4e86\u6f14\u793a\u5e72\u51c0\uff09<\/em>
userRepository.deleteAll();
videoRepository.deleteAll();
\/\/ 2. \u521b\u5efa\u5e76\u4fdd\u5b58 100 \u4e2a\u7528\u6237<\/em>
IntStream.range(1, 101).forEach(i -> {
User user = new User();
user.setId(\"user_\" + i); \/\/ \u8bbe\u7f6e\u7528\u6237 ID<\/em>
user.setUsername(\"User\" + i); \/\/ \u8bbe\u7f6e\u7528\u6237\u540d<\/em>
user.setInterestVector(vectorService.generateUserInterestVector()); \/\/ \u8bbe\u7f6e\u5174\u8da3\u5411\u91cf<\/em>
userRepository.save(user); \/\/ \u4fdd\u5b58\u5230 ES<\/em>
});
\/\/ 3. \u521b\u5efa\u5e76\u4fdd\u5b58 1000 \u4e2a\u89c6\u9891<\/em>
IntStream.range(1, 1001).forEach(i -> {
Video video = new Video();
video.setId(\"video_\" + i); \/\/ \u8bbe\u7f6e\u89c6\u9891 ID<\/em>
video.setTitle(\"Video Title \" + i); \/\/ \u8bbe\u7f6e\u6807\u9898<\/em>
video.setCategory(\"Category \" + (i % 10)); \/\/ \u8bbe\u7f6e\u5206\u7c7b (10\u4e2a\u7c7b\u522b)<\/em>
video.setContentVector(vectorService.generateVideoContentVector()); \/\/ \u8bbe\u7f6e\u5185\u5bb9\u5411\u91cf<\/em>
videoRepository.save(video); \/\/ \u4fdd\u5b58\u5230 ES<\/em>
});
return\"\u6210\u529f\u586b\u5145\u6570\u636e\uff1a\u521b\u5efa\u4e86 100 \u4e2a\u7528\u6237\u548c 1000 \u4e2a\u89c6\u9891\u3002\";
}
\/**
* GET \/api\/data\/users
* \u83b7\u53d6\u6240\u6709\u7528\u6237\u6570\u636e
*\/<\/em>
@GetMapping(\"\/users\")
public Iterable<User> getAllUsers() {
return userRepository.findAll();
}
\/**
* GET \/api\/data\/videos
* \u83b7\u53d6\u6240\u6709\u89c6\u9891\u6570\u636e
*\/<\/em>
@GetMapping(\"\/videos\")
public Iterable<Video> getAllVideos() {
return videoRepository.findAll();
}
}<\/code><\/pre>\n\n\n\nUser Repository<\/h1>\n\n\n\npackage com.example.repository;
import com.example.model.User;
import org.springframework.data.elasticsearch.repository.ElasticsearchRepository;
public interface UserRepository extends ElasticsearchRepository<User, String> {
}<\/code><\/pre>\n\n\n\nVideo Repository<\/h1>\n\n\n\npackage com.example.repository;
import com.example.model.Video;
import org.springframework.data.elasticsearch.repository.ElasticsearchRepository;
public interface VideoRepository extends ElasticsearchRepository<Video, String> {
}<\/code><\/pre>\n\n\n\nApplication<\/h1>\n\n\n\npackage com.example;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
@SpringBootApplication
public class Application {
public static void main(String[] args) {
SpringApplication.run(Application.class, args);
}
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