Inference Networks for Document Retrieval

Howard Turtle, W. Bruce Croft
<span title="2017-08-02">2017</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="" style="color: black;">SIGIR Forum</a> </i> &nbsp;
The use of inference networks to support document retrieval is introduced. A network-basead retrieval model is described and compared to conventional probabilistic and Boolean models.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="">doi:10.1145/3130348.3130361</a> <a target="_blank" rel="external noopener" href="">fatcat:wnn5vbaacjg4vofyk4fagnj6ym</a> </span>
<a target="_blank" rel="noopener" href="" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href=""> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> </button> </a>