کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
4950290 1364283 2018 11 صفحه PDF ندارد دانلود رایگان
عنوان انگلیسی مقاله
Query personalization using social network information and collaborative filtering techniques
کلمات کلیدی
Social networks; Personalization; Collaborative search; Database query transformation; Presentation of retrieval results;
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
Query personalization using social network information and collaborative filtering techniques
چکیده انگلیسی

•A social network-based query personalization algorithm is presented.•The algorithm considers influencers from the user’s social network.•Both the user’s and the influencers’ preferences are used for personalizing queries.•The algorithm is evaluated both performance- and quality-wise.

Query personalization has emerged as a means to handle the issue of information volume growth, aiming to tailor query answer results to match the goals and interests of each user. Query personalization dynamically enhances queries, based on information regarding user preferences or other contextual information; typically enhancements relate to incorporation of conditions that filter out results that are deemed of low value to the user and/or ordering results so that data of high value are presented first. In the domain of personalization, social network information can prove valuable; users’ social networks profiles, including their interests, influence from social friends, etc. can be exploited to personalize queries. In this paper, we present a query personalization algorithm, which employs collaborative filtering techniques and takes into account influence factors between social network users, leading to personalized results that are better-targeted to the user.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Future Generation Computer Systems - Volume 78, Part 1, January 2018, Pages 440-450
نویسندگان
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