Update index.html

Author: Jia-py

index.html

@@ -290,7 +290,7 @@
         <a class="navbar-item" href="#overview">Overview</a>
         <a class="navbar-item" href="#schedule">Schedule</a>
         <a class="navbar-item" href="#audience">Audience</a>
-        <a class="navbar-item" href="#presenters">Presenters</a>
+        <!-- <a class="navbar-item" href="#presenters">Presenters</a> -->
       </div>
     </div>
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@@ -347,7 +347,7 @@ <h1 class="title is-1 publication-title">Bridging Personalization and AI: From R
           </div>
         </div>
 
-        <div class="column is-5">
+        <!-- <div class="column is-5">
           <div class="feature-card">
             <h2 class="title is-4">At a Glance</h2>
             <ul>
@@ -357,7 +357,7 @@ <h2 class="title is-4">At a Glance</h2>
               <li>Practical resources, slides, and a continuously updated reading repository.</li>
             </ul>
           </div>
-        </div>
+        </div> -->
       </div>
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@@ -372,14 +372,10 @@ <h2 class="title is-3 section-title">Abstract</h2>
         their responses and behaviors according to individual users' preferences, contexts, and goals.
         Recent research has focused on Retrieval-Augmented Generation (RAG) and its development toward
         more advanced agent-based frameworks to improve user satisfaction in personalized settings.
-      </p>
-      <p>
         In this tutorial, we provide a systematic overview of how personalization can be incorporated
         into the three main stages of RAG: pre-retrieval, retrieval, and generation. We then extend the
         discussion to personalized LLM-based agents, which build on RAG by adding agent capabilities such
         as user understanding, personalized planning and execution, and adaptive response generation.
-      </p>
-      <p>
         For both RAG-based and agent-based approaches, we present clear definitions, review recent research,
         and summarize commonly used datasets and evaluation metrics. We also discuss key challenges, current
         limitations, and promising future research directions.
@@ -417,7 +413,7 @@ <h2 class="title is-4 section-title">Learning Objectives</h2>
           </ul>
         </div>
 
-        <div class="section-card">
+        <!-- <div class="section-card">
           <h2 class="title is-4 section-title">Materials and Resources</h2>
           <p>
             Slides, structured diagrams, unified formulations, and an annotated reading list will be made
@@ -427,7 +423,7 @@ <h2 class="title is-4 section-title">Materials and Resources</h2>
             Participants will also receive a curated bibliography of key papers, summaries of representative
             datasets and evaluation benchmarks, and links to open-source implementations and related resources.
           </p>
-        </div>
+        </div> -->
       </div>
     </div>
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@@ -546,7 +542,7 @@ <h2 class="title is-4 section-title">Prerequisites</h2>
   </div>
 </section>
 
-<section class="section" id="presenters">
+<!-- <section class="section" id="presenters">
   <div class="container is-max-desktop">
     <div class="section-card">
       <h2 class="title is-3 section-title">Presenters</h2>
@@ -561,7 +557,7 @@ <h2 class="title is-3 section-title">Presenters</h2>
       </ul>
     </div>
   </div>
-</section>
+</section> -->
 
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   <div class="container is-max-desktop">