내가 모든 기준을 적절하게 고려하면 가중치 검색이 트릭을 수행 할 것입니다. 아래에서 작성한 샘플 데이터를 데모 코어에로드하고 edismax 검색을 실행하여 관련성을 0.8로, 신선도를 0.2로하면 관련된 신선한 대답이 맨 위에 표시됩니다. http://<solr_server>.us-west-2.compute.amazonaws.com:8983/solr/gettingstarted/select?defType=edismax&indent=on&q=*:*&qf=relevance^0.8%20AND%20freshness^0.2&rows=10&start=0&wt=json
내가 처음 10에 결과 집합을 제한 참고 : 다음과 같이
검색 URL입니다.
<add>
<doc>
<field name="id">1</field>
<field name="name">JBL Professional Audio</field>
<field name="relevance">true</field>
<field name="freshness">true</field>
</doc>
<doc>
<field name="id">2</field>
<field name="name">Versatile Multilayer Disc</field>
<field name="relevance">true</field>
<field name="freshness">true</field>
</doc>
<doc>
<field name="id">3</field>
<field name="name">Key finder</field>
<field name="relevance">true</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">4</field>
<field name="name">MiniDisc</field>
<field name="relevance">true</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">5</field>
<field name="name">Entertainment center</field>
<field name="relevance">true</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">6</field>
<field name="name">TV gateway</field>
<field name="relevance">true</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">7</field>
<field name="name">Da-Lite Lecterns, Podiums, Racks</field>
<field name="relevance">true</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">8</field>
<field name="name">American Dynamics CCTV Products</field>
<field name="relevance">true</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">9</field>
<field name="name">K-box</field>
<field name="relevance">true</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">10</field>
<field name="name">Wife acceptance factor</field>
<field name="relevance">true</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">11</field>
<field name="name">J</field>
<field name="relevance">true</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">12</field>
<field name="name">Location awareness</field>
<field name="relevance">true</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">13</field>
<field name="name">Hybrid Broadcast Broadband TV</field>
<field name="relevance">true</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">14</field>
<field name="name">Comparison of digital media players</field>
<field name="relevance">true</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">15</field>
<field name="name">Coupon-eligible converter box</field>
<field name="relevance">true</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">16</field>
<field name="name">Crown Audio</field>
<field name="relevance">false</field>
<field name="freshness">true</field>
</doc>
<doc>
<field name="id">17</field>
<field name="name">Q</field>
<field name="relevance">false</field>
<field name="freshness">true</field>
</doc>
<doc>
<field name="id">18</field>
<field name="name">Surround sound</field>
<field name="relevance">false</field>
<field name="freshness">true</field>
</doc>
<doc>
<field name="id">19</field>
<field name="name">Digital Living Network Alliance</field>
<field name="relevance">false</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">20</field>
<field name="name">EcoCute</field>
<field name="relevance">false</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">21</field>
<field name="name">TV gateway</field>
<field name="relevance">false</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">22</field>
<field name="name">List of smart TV platforms and middleware software</field>
<field name="relevance">false</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">23</field>
<field name="name">Predicta</field>
<field name="relevance">false</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">24</field>
<field name="name">AMX Control Systems</field>
<field name="relevance">false</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">25</field>
<field name="name">Batteriser</field>
<field name="relevance">false</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">26</field>
<field name="name">Audio equipment</field>
<field name="relevance">false</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">27</field>
<field name="name">EcoCute</field>
<field name="relevance">false</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">28</field>
<field name="name">Elmo Document Cameras</field>
<field name="relevance">false</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">29</field>
<field name="name">Lab Gruppen Audio</field>
<field name="relevance">false</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">30</field>
<field name="name">Direct-drive turntable</field>
<field name="relevance">false</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">31</field>
<field name="name">Wearable Technology Show</field>
<field name="relevance">false</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">32</field>
<field name="name">Power cord</field>
<field name="relevance">false</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">33</field>
<field name="name">MiniDisc</field>
<field name="relevance">false</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">34</field>
<field name="name">Quattron</field>
<field name="relevance">false</field>
<field name="freshness">false</field>
</doc>
<doc>
<field name="id">35</field>
<field name="name">I</field>
<field name="relevance">false</field>
<field name="freshness">false</field>
</doc>
</add>
이 당신이 생각했던 무엇인가
{
"responseHeader":{
"status":0,
"QTime":6,
"params":{
"q":"*:*",
"defType":"edismax",
"indent":"on",
"qf":"relevance^0.8 AND freshness^0.2",
"start":"0",
"rows":"10",
"wt":"json",
"_":"1477363414109"}},
"response":{"numFound":35,"start":0,"docs":[
{
"id":"1",
"name":["JBL Professional Audio"],
"relevance":[true],
"freshness":[true],
"_version_":1549127868117680128},
{
"id":"2",
"name":["Versatile Multilayer Disc"],
"relevance":[true],
"freshness":[true],
"_version_":1549127868288598016},
{
"id":"3",
"name":["Key finder"],
"relevance":[true],
"freshness":[false],
"_version_":1549127868290695168},
{
"id":"4",
"name":["MiniDisc"],
"relevance":[true],
"freshness":[false],
"_version_":1549127868291743744},
{
"id":"5",
"name":["Entertainment center"],
"relevance":[true],
"freshness":[false],
"_version_":1549127868292792320},
{
"id":"6",
"name":["TV gateway"],
"relevance":[true],
"freshness":[false],
"_version_":1549127868294889472},
{
"id":"7",
"name":["Da-Lite Lecterns, Podiums, Racks"],
"relevance":[true],
"freshness":[false],
"_version_":1549127868295938048},
{
"id":"8",
"name":["American Dynamics CCTV Products"],
"relevance":[true],
"freshness":[false],
"_version_":1549127868301180928},
{
"id":"9",
"name":["K-box"],
"relevance":[true],
"freshness":[false],
"_version_":1549127868302229504},
{
"id":"10",
"name":["Wife acceptance factor"],
"relevance":[true],
"freshness":[false],
"_version_":1549127868303278080}]
}}
당신이 문서에서로드 할 수있는 샘플 데이터 세트는 다음과 같다 : 결과에
응답 헤더처럼 보인다?
상상의 데이터 세트에서 다른 요소와 이유가 무엇보다 높은 지에 대한 예를 들려 줄 수 있습니까? –
@LeftyGBalogh 안녕하세요. 따라서 문서의 신선도를 속성 측정 항목으로 사용하면 관련성이 있지만 검색 결과에 확률 적 효과가 나타나기를 바랍니다. 즉 페이지 당 10 개의 결과를 출력하고 결과 신선도 확률을 0.2로 설정하면 신선한 특성을 갖는 10 개의 결과 중 최소한 2 개가 있어야합니다. 희망이 도움이 – Sachin