Social information retrieval: A Hybrid Approach Based on Analysis and Information Extraction

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

The emergence of social media has revolutionized the Web, notably by allowing users to interact,exchange messages and share their knowledge with other users in the form of comments, annotations andratings of resources. These tasks have led to a dramatic growth of information on the web. This newinformation, known as social information, has been a source of evidence, in the field of social informationresearch, for estimating the relevance of documents and better responding to user requests. However, the useof social information to improve information retrieval has several challenges, the most important of which are(i) find a better representation of documents taking into account the social dimension, (ii) adapt the models ofinformation retrieval to take into account the different types of social information such as comments andannotations, (iii) find a better representation of the user request which is generally complex and formulated innatural language in social forums. The main contributions of our work consist in proposing an approach basedon reduction and expansion to process natural language queries and better understand user needs. We alsopropose to adapt and parametrize the IR models to suit the different types of social information. Finally, inorder to better exploit users' reviews, we propose a new representation of documents, which combines termsand features extracted from user reviews. The proposed approaches were evaluated on two datasets, SocialBook Search and App Retrieval, and the results clearly show the improvement in search performance.

روابط وملفات

التعريف والنوع

رقم الوثيقة

ff9337b6-5812-45b1-b97c-33118bb7dcf6

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل دكتوراة

نوع الملف

pdf image

أسماء الملفات

930593_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":"Chaa Messaoud ","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"باتريس بلوط","title_ar":"اشراف","title_en":"Supervision"}]

اللغة

French

المصدر والدورية

اسم المصدر

Social information retrieval: A Hybrid Approach Based on Analysis and Information Extraction

المحتوى والصفحات

عدد الصفحات

0

كلمات الباحثين

Social Information Retrieval : Social Media : Information extraction

إشراف وإعداد

الإشراف

باتريس بلوط

الإعداد

Chaa Messaoud

الاقتباسات الببليوغرافية