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Title: :  ONLINE PRODUCT RECOMMENDATION WITH USER PERSONALITY ANALYSIS WITH INTERESTS MINING AND METAPATH DISCOVERY
PaperId: :  20688
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 3 2023
DUI:    16.0415/IJARIIE-20688
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
M.Mounika AradhanaAndhra loyola Institute of Engineering and Technology, Vijayawada, Andhra Pradesh
Dr Rajendra Babu ChikkalaAndhra loyola Institute of Engineering and Technology, Vijayawada, Andhra Pradesh

Abstract

Computer Science and Engineering
Product Recommendation, Collaborative Filtering, Content based Filtering, User Interests, Meta Path Discovery, Redundancy Reduction, Cold Start Problem.
In recommender systems, the cold-start problem is a critical issue. To alleviate this problem, an emerging direction adopts meta-learning frameworks and achieves success. Most existing works aim to learn globally shared prior knowledge across all users so that it can be quickly adapted to a new user with sparse interactions. However, globally shared prior knowledge may be inadequate to discern users’ complicated behaviors and causes poor generalization. Therefore, we argue that prior knowledge should be locally shared by users with similar preferences who can be recognized by social relations. A recommendation system is an integral part of any modern online shopping or social network platform. The product recommendation system as a typical example of the legacy recommendation systems suffers from two major drawbacks: recommendation redundancy and unpredictability concerning new items (cold start). These limitations take place because the legacy recommendation systems rely only on the user’s previous buying behavior to recommend new items. Incorporating the user’s social features, such as personality traits and topical interest, might help alleviate the cold start and remove recommendation redundancy. Therefore, in this article, we propose Meta-Interest, a personality-aware product recommendation system based on user interest mining and metapath discovery. Meta-Interest predicts the user’s interest and the items associated with these interests, even if the user’s history does not contain these items or similar ones. This is done by analyzing the user’s topical interests and, eventually, recommending the items associated with the user’s interest. The proposed system is personality-aware from two aspects; it incorporates the user’s personality traits to predict his/her topics of interest and to match the user’s personality facets with the associated items. The proposed system was compared against recent recommendation methods, such as deep-learning-based recommendation system and session-based recommendation systems.

Citations

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IJARIIE M.Mounika Aradhana, and Dr Rajendra Babu Chikkala. "ONLINE PRODUCT RECOMMENDATION WITH USER PERSONALITY ANALYSIS WITH INTERESTS MINING AND METAPATH DISCOVERY" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 3 2023 Page 3532-3544
MLA M.Mounika Aradhana, and Dr Rajendra Babu Chikkala. "ONLINE PRODUCT RECOMMENDATION WITH USER PERSONALITY ANALYSIS WITH INTERESTS MINING AND METAPATH DISCOVERY." International Journal Of Advance Research And Innovative Ideas In Education 9.3(2023) : 3532-3544.
APA M.Mounika Aradhana, & Dr Rajendra Babu Chikkala. (2023). ONLINE PRODUCT RECOMMENDATION WITH USER PERSONALITY ANALYSIS WITH INTERESTS MINING AND METAPATH DISCOVERY. International Journal Of Advance Research And Innovative Ideas In Education, 9(3), 3532-3544.
Chicago M.Mounika Aradhana, and Dr Rajendra Babu Chikkala. "ONLINE PRODUCT RECOMMENDATION WITH USER PERSONALITY ANALYSIS WITH INTERESTS MINING AND METAPATH DISCOVERY." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 3 (2023) : 3532-3544.
Oxford M.Mounika Aradhana, and Dr Rajendra Babu Chikkala. 'ONLINE PRODUCT RECOMMENDATION WITH USER PERSONALITY ANALYSIS WITH INTERESTS MINING AND METAPATH DISCOVERY', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, 2023, p. 3532-3544. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/ONLINE_PRODUCT_RECOMMENDATION_WITH_USER_PERSONALITY_ANALYSIS_WITH_INTERESTS_MINING_AND_METAPATH_DISCOVERY_ijariie20688.pdf (Accessed : 19 August 2023).
Harvard M.Mounika Aradhana, and Dr Rajendra Babu Chikkala. (2023) 'ONLINE PRODUCT RECOMMENDATION WITH USER PERSONALITY ANALYSIS WITH INTERESTS MINING AND METAPATH DISCOVERY', International Journal Of Advance Research And Innovative Ideas In Education, 9(3), pp. 3532-3544IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/ONLINE_PRODUCT_RECOMMENDATION_WITH_USER_PERSONALITY_ANALYSIS_WITH_INTERESTS_MINING_AND_METAPATH_DISCOVERY_ijariie20688.pdf (Accessed : 19 August 2023)
IEEE M.Mounika Aradhana, and Dr Rajendra Babu Chikkala, "ONLINE PRODUCT RECOMMENDATION WITH USER PERSONALITY ANALYSIS WITH INTERESTS MINING AND METAPATH DISCOVERY," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, pp. 3532-3544, May-Jun 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/ONLINE_PRODUCT_RECOMMENDATION_WITH_USER_PERSONALITY_ANALYSIS_WITH_INTERESTS_MINING_AND_METAPATH_DISCOVERY_ijariie20688.pdf [Accessed : 19 August 2023].
Turabian M.Mounika Aradhana, and Dr Rajendra Babu Chikkala. "ONLINE PRODUCT RECOMMENDATION WITH USER PERSONALITY ANALYSIS WITH INTERESTS MINING AND METAPATH DISCOVERY." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 3 (19 August 2023).
Vancouver M.Mounika Aradhana, and Dr Rajendra Babu Chikkala. ONLINE PRODUCT RECOMMENDATION WITH USER PERSONALITY ANALYSIS WITH INTERESTS MINING AND METAPATH DISCOVERY. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 19 August 2023]; 9(3) : 3532-3544. Available from: https://ijariie.com/AdminUploadPdf/ONLINE_PRODUCT_RECOMMENDATION_WITH_USER_PERSONALITY_ANALYSIS_WITH_INTERESTS_MINING_AND_METAPATH_DISCOVERY_ijariie20688.pdf
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