Recently, as location-based social network(LBSN) rapidly grow, point-of-interest(POI) recommendation has become an important way to help people locate interesting places. Nowadays, there have been deep studies conduct...Recently, as location-based social network(LBSN) rapidly grow, point-of-interest(POI) recommendation has become an important way to help people locate interesting places. Nowadays, there have been deep studies conducted on the geographical and social influence in the point-of-interest recommendation model based on the rating prediction. The fact is, however, relying solely on the rating fails to reflect the user's preferences very accurately, because the users are most concerned with the list of ranked point-of-interests(POIs) on the actual output of recommender systems. In this paper, we propose a co-pairwise ranking model called Geo-Social Bayesian Personalized Ranking model(GSBPR), which is based on the pairwise ranking with the exploiting geo-social correlations by incorporating the method of ranking learning into the process of POI recommendation. In this model, we develop a novel BPR pairwise ranking assumption by injecting users' geo-social preference. Based on this assumption, the POI recommendation model is reformulated by a three-level joint pairwise ranking model. And the experimental results based on real datasets show that the proposed method in this paper enjoys better recommendation performance compared to other state-of-the-art POI recommendation models.展开更多
据伊巴涅斯书中所记,他是从纽约启程,坐弗兰科尼号轮船,走的是从古巴、巴拿马、夏威夷到日本的路线,取道朝鲜进入中国东北,并一路游历了沈阳、北京、南京、上海、广州、香港、澳门等地,然后再乘原船走菲律宾、新加坡、印度、苏丹、埃及...据伊巴涅斯书中所记,他是从纽约启程,坐弗兰科尼号轮船,走的是从古巴、巴拿马、夏威夷到日本的路线,取道朝鲜进入中国东北,并一路游历了沈阳、北京、南京、上海、广州、香港、澳门等地,然后再乘原船走菲律宾、新加坡、印度、苏丹、埃及一线返回欧洲。《一个小说家的环球旅行》(La Vuelta al Mundo de un Novelista)正是他这次远洋之旅的所见所闻,其中的中国游记集中在第一本的最后一章《去中国的路上》和第二本的前十三章中。展开更多
基金supported by National Basic Research Program of China (2012CB719905)National Natural Science Funds of China (41201404)Fundamental Research Funds for the Central Universities of China (2042018gf0008)
文摘Recently, as location-based social network(LBSN) rapidly grow, point-of-interest(POI) recommendation has become an important way to help people locate interesting places. Nowadays, there have been deep studies conducted on the geographical and social influence in the point-of-interest recommendation model based on the rating prediction. The fact is, however, relying solely on the rating fails to reflect the user's preferences very accurately, because the users are most concerned with the list of ranked point-of-interests(POIs) on the actual output of recommender systems. In this paper, we propose a co-pairwise ranking model called Geo-Social Bayesian Personalized Ranking model(GSBPR), which is based on the pairwise ranking with the exploiting geo-social correlations by incorporating the method of ranking learning into the process of POI recommendation. In this model, we develop a novel BPR pairwise ranking assumption by injecting users' geo-social preference. Based on this assumption, the POI recommendation model is reformulated by a three-level joint pairwise ranking model. And the experimental results based on real datasets show that the proposed method in this paper enjoys better recommendation performance compared to other state-of-the-art POI recommendation models.
文摘据伊巴涅斯书中所记,他是从纽约启程,坐弗兰科尼号轮船,走的是从古巴、巴拿马、夏威夷到日本的路线,取道朝鲜进入中国东北,并一路游历了沈阳、北京、南京、上海、广州、香港、澳门等地,然后再乘原船走菲律宾、新加坡、印度、苏丹、埃及一线返回欧洲。《一个小说家的环球旅行》(La Vuelta al Mundo de un Novelista)正是他这次远洋之旅的所见所闻,其中的中国游记集中在第一本的最后一章《去中国的路上》和第二本的前十三章中。
