A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit <a rel="external noopener" href="https://static.aminer.org/pdf/20170130/pdfs/sigir/ytilrq73aezadus0cqboti4mkvxnrfhw.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
Search and browse log mining for web information retrieval
<span title="">2010</span>
<i title="ACM Press">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ibcfmixrofb3piydwg5wvir3t4" style="color: black;">Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10</a>
</i>
Preserved Fulltext
Huge amounts of search log data have been accumulated in various search engines. Currently, a commercial search engine receives billions of queries and collects tera-bytes of log data on any single day. Other than search log data, browse logs can be collected by client-side browser plug-ins, which record the browse information if users' permissions are granted. Such massive amounts of search/browse log data, on the one hand, provide great opportunities to mine the wisdom of crowds and improve
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1835449.1835684">doi:10.1145/1835449.1835684</a>
<a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sigir/JiangPL10.html">dblp:conf/sigir/JiangPL10</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ovtjov37xzdjlcpwjt6wftgqt4">fatcat:ovtjov37xzdjlcpwjt6wftgqt4</a>
</span>
more »
... arch results as well as online advertisement. On the other hand, designing effective and efficient methods to clean, model, and process large scale log data also presents great challenges.
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190217184201/https://static.aminer.org/pdf/20170130/pdfs/sigir/ytilrq73aezadus0cqboti4mkvxnrfhw.pdf" 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="https://blobs.fatcat.wiki/thumbnail/pdf/84/68/8468ff7cf4bac06f9c64f8fdea55e7468be49ae1.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1835449.1835684">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="external alternate icon"></i>
acm.org
</button>
</a>