کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5127828 1489059 2017 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Identifying product opportunities using collaborative filtering-based patent analysis
ترجمه فارسی عنوان
شناسایی فرصت های محصول با استفاده از تجزیه و تحلیل پتنت مبتنی بر فیلتر مشترک
کلمات کلیدی
فرصت تولید، نمونه کارها، فیلتر کردن همگانی، تخصیص صندوق قرض الحسنه، استخراج متن، تجزیه و تحلیل ثبت اختراع،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
چکیده انگلیسی


- We propose a recommendation approach for product opportunity exploration.
- The approach identifies application products based on a firm's existing product portfolio.
- The approach is built on patent text mining and collaborative filtering.
- The approach contributes to systematic product opportunity discovery across domains.

One practical and low-risk approach to product planning for technology-based firms is to identify application products based on their existing product portfolios. Previous studies, however, have tended to neglect the current product development capabilities of target firms and to apply the technical data of specific fields to their methods, thereby failing to quantify a way of identifying various product opportunities. As a remedy, this paper proposes a new multi-step approach to product recommendation. The steps include (1) generating assignee-product portfolio vectors using text mining on a large-scale sample of patents, (2) recommending untapped products for a target firm by using latent Dirichlet allocation and collaborative filtering, (3) producing a visual map based on the promise and domain heterogeneity of the recommended products. To validate the practicability, we applied our approach to a Korean high-tech manufacturer by using all of the patents registered in the United States Patent and Trademark Office database during the period of time from 2009 to 2013. This study contributes to the systematic discovery of new product opportunities across various domains using the existing product portfolios of firms, and could become the basis for a future product opportunity analysis system.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Industrial Engineering - Volume 107, May 2017, Pages 376-387
نویسندگان
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