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Title: :  Connecting Social Media to Ecommerce: Cold-Start Product Recommendation using Micro blogging Information
PaperId: :  4091
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 2 2017
DUI:    16.0415/IJARIIE-4091
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Mayuri Sunil YendeAmrutvahini Collage of Engineering, Sangamner.
Manoj WaghchaureAmrutvahini Collage of Engineering, Sangamner.

Abstract

Computer Engineering
e-commerce, product recommender, product demographic, micro-blogs, recurrent neural networks.
In recent years, the edge between e-commerce and social networking have become increasingly blurred. Many e-commerce websites support the mechanism of social login where users can sign on the websites using their social network identities such as their Facebook or Twitter accounts. Users can also post their newly purchased products on microblogs with links to the e-commerce product web pages. In this paper we represent a novel solution for cross-site cold-start product recommendation, which aims to recommend products from e-commerce websites to users at social networking sites in “coldstart” situations, a problem which has rarely been explored before. A major threat is how to leverage knowledge extracted from social networking sites for cross-site cold-start product recommendation. We propose to use the linked users across social networking sites and e-commerce websites (users who have social networking accounts and have made purchases on e-commerce websites) as a bridge to map users’ social networking features to another feature representation for product recommendation. In specific, we propose learning both users’ and products’ feature representations (called user embeddings and product embeddings, respectively) from data collected from e-commerce websites using recurrent neural networks and then apply a modified gradient boosting trees method to transform users’ social networking features into user embeddings. We then develop a feature-based matrix factorization approach which can leverage the learnt user embeddings for cold-start product recommendation. Experimental calculation on a large dataset build from the largest Chinese micro blogging service SINA WEIBO and the largest Chinese B2C e-commerce website JINGDONG have given the effectiveness of our proposed framework.

Citations

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IJARIIE Mayuri Sunil Yende, and Manoj Waghchaure. "Connecting Social Media to Ecommerce: Cold-Start Product Recommendation using Micro blogging Information" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 2 2017 Page 880-884
MLA Mayuri Sunil Yende, and Manoj Waghchaure. "Connecting Social Media to Ecommerce: Cold-Start Product Recommendation using Micro blogging Information." International Journal Of Advance Research And Innovative Ideas In Education 3.2(2017) : 880-884.
APA Mayuri Sunil Yende, & Manoj Waghchaure. (2017). Connecting Social Media to Ecommerce: Cold-Start Product Recommendation using Micro blogging Information. International Journal Of Advance Research And Innovative Ideas In Education, 3(2), 880-884.
Chicago Mayuri Sunil Yende, and Manoj Waghchaure. "Connecting Social Media to Ecommerce: Cold-Start Product Recommendation using Micro blogging Information." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 2 (2017) : 880-884.
Oxford Mayuri Sunil Yende, and Manoj Waghchaure. 'Connecting Social Media to Ecommerce: Cold-Start Product Recommendation using Micro blogging Information', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, 2017, p. 880-884. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Connecting_Social_Media_to_Ecommerce__Cold_Start_Product_Recommendation_using_Micro_blogging_Information_ijariie4091.pdf (Accessed : 16 February 2019).
Harvard Mayuri Sunil Yende, and Manoj Waghchaure. (2017) 'Connecting Social Media to Ecommerce: Cold-Start Product Recommendation using Micro blogging Information', International Journal Of Advance Research And Innovative Ideas In Education, 3(2), pp. 880-884IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Connecting_Social_Media_to_Ecommerce__Cold_Start_Product_Recommendation_using_Micro_blogging_Information_ijariie4091.pdf (Accessed : 16 February 2019)
IEEE Mayuri Sunil Yende, and Manoj Waghchaure, "Connecting Social Media to Ecommerce: Cold-Start Product Recommendation using Micro blogging Information," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, pp. 880-884, Mar-App 2017. [Online]. Available: http://ijariie.com/AdminUploadPdf/Connecting_Social_Media_to_Ecommerce__Cold_Start_Product_Recommendation_using_Micro_blogging_Information_ijariie4091.pdf [Accessed : 16 February 2019].
Turabian Mayuri Sunil Yende, and Manoj Waghchaure. "Connecting Social Media to Ecommerce: Cold-Start Product Recommendation using Micro blogging Information." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 2 (16 February 2019).
Vancouver Mayuri Sunil Yende, and Manoj Waghchaure. Connecting Social Media to Ecommerce: Cold-Start Product Recommendation using Micro blogging Information. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : 16 February 2019]; 3(2) : 880-884. Available from: http://ijariie.com/AdminUploadPdf/Connecting_Social_Media_to_Ecommerce__Cold_Start_Product_Recommendation_using_Micro_blogging_Information_ijariie4091.pdf
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