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ÁÖ°ÅÀÇ»ç°áÁ¤Áö¿øÀ» À§ÇÑ ÀÓº£µù ±â¹Ý Çù·ÂÇÊÅ͸µ Ãßõ½Ã½ºÅÛ / Embedding-based Collaborative Filtering Recommender System for Supporting Housing Decision Making |
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±èÀçÈñ(Kim, Jae-Hee) ; Àå¼±¿ì(Chang, Sun-Woo) ; À̵濵(Rhee, Deuk-Young) ; ÀüÇÑÁ¾(Jun, Han-Jong) |
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´ëÇÑ°ÇÃàÇÐȸ³í¹®Áý, Vol.36 No.11 (2020-11) |
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½ÃÀÛÆäÀÌÁö(163) ÃÑÆäÀÌÁö(8) |
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ÁÖ°Å ¼±È£µµ; Ãßõ½Ã½ºÅÛ; ÀÓº£µù; ÁÖ°ÅÀÇ»ç°áÁ¤; °³ÀÎÈ ; Housing Preference; Recommender System; Embeddings; Housing Decision Making; Personalization |
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4Â÷»ê¾÷Çõ¸í½Ã´ë¿¡¼ »ç¿ëÀÚ ¸ÂÃãÇü ¼ºñ½ºÀÎ Ãßõ½Ã½ºÅÛÀ» ÅëÇØ ¼ºñ½º ¸¸Á·µµ¸¦ ³ôÀÌ´Â ±â¼úÀÌ ÁÖ¸ñ¹Þ°í Àִµ¥ °ÇÃàºÐ¾ß¿¡¼µµ ÁÖ°Å ¼±È£µµ ºÐ¼®À» ÅëÇÑ »ç¿ëÀÚ °üÁ¡ ¹Ý¿µÀ» À§ÇÑ ¿¬±¸°¡ ÁøÇàµÇ¾î¿Ô´Ù. Àα¸Åë°èÇÐÀû Ư¼º¿¡ µû¸¥ Áý´ÜÀÇ Áְż±È£µµ¸¦ ºÐ¼®ÇÑ ±âÁ¸ ¿¬±¸¿Í´Â ´Þ¸® º» ¿¬±¸´Â ºÐ¼®´ë»óÀ» °³ÀÎÀ¸·Î ¼¼ºÐÈÇÏ¿© ÁÖ°Å ¼±È£µµ µµÃâ, ¸ÂÃãÇü ÁÖ°Å´ë¾È ÃßõÀÌ °¡´ÉÇϵµ·Ï ÇÏ¿´´Ù. º» ³í¹®ÀÇ ¸ñÀûÀº ÀÓº£µù ±â¹Ý ÁÖ°Å Ãßõ ½Ã½ºÅÛÀ» ±¸ÃàÇÏ¿© °³º° »ç¿ëÀÚÀÇ ¼±È£µµ µµÃâÇÏ°í ÁÖ°Å ÀÇ»ç°áÁ¤°úÁ¤ ¹× °ÇÃà°èȹ ´Ü°è Áö¿ø ¹× ¼³°èÇ°Áú Çâ»óÀ» Áö¿øÇÏ°íÀÚ ÇÑ´Ù. |
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In the era of the 4th Industrial Revolution, a user-customized service recommendation system has been gaining attention in the terms of ultra-personalization, which collects and analyzes customer information in real time to increase satisfaction through reflecting the user's preference. In line with this global trend, various studies have been conducted to reflect the user's perspective through the analysis of housing preferences to support the housing decision-making process and improve service satisfaction. Unlike the previous studies that analyze the groups' housing preferences according to demographic and sociological characteristics, this study subdivided the analysis targets into the individuals to enable the derivation of housing preferences and the recommendation of customized housing alternatives. The purpose of this paper is to analyze the preferences of individual users by establishing an embedding-based residential recommendation system. Through this, it was intended to support a custom housing decision-making process from the individual user's point of view and to suggest one way to improve design quality as well as increase satisfaction in the architectural planning and design phase from the supplier's point of view. |