Social Recommendation Combining Trust Relationship and Distance Metric Factorization

2020 ◽  
Vol 29 (15) ◽  
pp. 2050249
Author(s):  
Ming Ye ◽  
Yuanle Deng

The recommender system predicts user preferences by mining user historical behavior data. This paper proposes a social recommendation combining trust relationship and distance metric factorization. On the one hand, the recommender system has a cold start problem, which can be effectively alleviated by adding social relations. Simultaneously, to improve the problem of sparse trust matrix, we use the Jaccard similarity coefficient and the Dijkstra algorithm to reconstruct the trust matrix and explore the potential user trust relationship. On the other hand, the traditional matrix factorization algorithm is modeled by the user item potential factor dot product, however, it does not satisfy the triangle inequality property and affects the final recommender effect. The primary motivator behind our approach is to combine the best of both worlds, mitigate the inherent weaknesses of each paradigm. Combining the advantages of the two ideas, it has been demonstrated that our algorithm can enhance recommender performance and improve cold start in recommender systems.

2016 ◽  
Vol 43 (1) ◽  
pp. 135-144 ◽  
Author(s):  
Mehdi Hosseinzadeh Aghdam ◽  
Morteza Analoui ◽  
Peyman Kabiri

Recommender systems have been widely used for predicting unknown ratings. Collaborative filtering as a recommendation technique uses known ratings for predicting user preferences in the item selection. However, current collaborative filtering methods cannot distinguish malicious users from unknown users. Also, they have serious drawbacks in generating ratings for cold-start users. Trust networks among recommender systems have been proved beneficial to improve the quality and number of predictions. This paper proposes an improved trust-aware recommender system that uses resistive circuits for trust inference. This method uses trust information to produce personalized recommendations. The result of evaluating the proposed method on Epinions dataset shows that this method can significantly improve the accuracy of recommender systems while not reducing the coverage of recommender systems.


Author(s):  
Shunichi Hattori ◽  
◽  
Yasufumi Takama

This paper proposes a recommender system based on personal-value-based user model. Conventional methods such as collaborative and content-based approaches tend to be less accurate for new users and items due to the lack of a relation between items and user preferences. While existing recommender systems usually employ user preferences of items for making recommendations, proposed method focuses on users’ personal values, which mean value judgments regarding on which attributes users put a high priority. The proposed recommender system employing personal-value-based user model is thus expected to realize more precise recommendations in cold-start situations. As one of typical cold-start situations, a prototype system is developed for recommendation using external resources. Experimental results show that generated user models reflect each user’s value judgment on attributes. In addition, the results also show that recommendation employing the proposed user model realizes improvements of precision in cold-start situations.


2019 ◽  
Vol 11 (3) ◽  
pp. 157-175
Author(s):  
Wécio Pinheiro Araújo

Resumo: Em O Capital, Marx nos alertou que a mercadoria tem um caráter misterioso que carrega “sutilezas metafísicas e argúcias teológicas”. Este artigo tenta decifrar um pouco desse mistério buscando decodifica-lo naquilo que denominamos como a estranha objetividade do valor. Para isso, analisamos a relação entre a ideologia e o valor a partir da crítica marxiana à mercadoria, consignada à lógica de Hegel. Vemos que o valor se constitui como razão ontológica da mercadoria enquanto produto do processo de trabalho que carrega uma racionalidade imanente, isto é, um espírito socialmente produzido que se objetiva à medida que é vivenciado pelos indivíduos como uma lógica social que rege as relações nesta sociedade. Isso se dá por meio de “sutilezas metafísicas” na formação da realidade social marcada por contradições estabelecidas entre, de um lado, o conteúdo objetivo das relações sociais, e de outro, a forma como essas relações são vivenciadas pela consciência na sociedade capitalista. Nesta relação entre conteúdo e forma, encontramos determinações de profundidade ontológica entre o valor e a ideologia, enquanto forma social que opera harmonizando as contradições constituintes da realidade social, a exemplo do que acontece no trabalho assalariado. A mediação ideológica se põe como uma progressão imanente à materialização da vivência concreta da relação entre capital e trabalho no salário, de maneira a naturalizar a exploração que se esconde na estranha objetividade do valor que se realiza na troca de mercadorias. Concluímos que a conexão ontológica entre o ser social e a mercadoria é socialmente ubíqua, precisamente por conta do seu caráter ideológico na formação da sociabilidade a partir do processo de trabalho subjugado ao capital.  Palavras-chave: Valor. Ideologia. Trabalho, Capital. Salário.  Abstract: In Capital, Marx warned us that the commodity has a mysterious character bearing "metaphysical subtleties and theological insights." This article attempts to decipher a little of this mystery by decoding it into what we call the strange objectivity of value. For this, we analyze the relation between ideology and value from the Marxian critique of the commodity, consigned to the Hegelian logic. We see that value is constituted as the ontological reason of the commodity as the product of the labor process that carries an immanent rationality, that is, a socially produced spirit that is objectified as it is experienced by the individuals as a social logic that governs the relations in this society. This is done through "metaphysical subtleties" in the formation of social reality marked by contradictions established between, on the one hand, the objective content of social relations, and on the other, the way in which these relations are experienced by consciousness in capitalist society. In this relationship between content and form, we find determinations of ontological depth between value and ideology, as a social form that operates by harmonizing the constituent contradictions of social reality, as in wage labor. Ideological mediation is seen as an immanent progression to the materialization of the concrete experience of the relation between capital and labor in wage, in order to naturalize the exploitation that is hidden in the strange objectivity of the value that is realized in the exchange of commodities. We conclude that the ontological connection between the social being and the commodity is socially ubiquitous precisely because of its ideological character in the formation of sociability from the labor process subjugated to capital.  Keywords: Value. Labor. Ideology. Capital. Wage.  REFERÊNCIAS  ADORNO, Theodor W. Teoria Estética. [Asthetische Theorie]. Tradução de Artur Morão. – São Paulo : Livraria Martins Fontes, 1988.  ADORNO, Theodor W. Três estudos sobre Hegel. [Drei Studien zu Hegel]. Tradução: Ulisses Razzante Vaccari. – 1. Ed. – São Paulo: Editora Unesp, 2013.  ARAÚJO, Wécio Pinheiro. Ideologia e capital: crítica da razão imanente à sociedade moderna. Tese de doutorado. João Pessoa, PB; Leipzig, Saxônia, UFPB/UFPE/UFRN-HGB, 2018.  ARTHUR, Christopher J. A nova dialética e “O Capital” de Marx. Tradução de Pedro C. Chadarevian. – São Paulo : Edipro, 2016.   DUSSEL, Enrique. A Produção Teórica de Marx: um comentário sobre os Grundrisse. Tradução de José Paulo Netto. – 1 ed. – São Paulo : Expressão Popular, 2012. GERAS, Norman. Marx and the Critique of Political Economy. In: Ideology and Social Science: politics, sociology, anthropology, economics, history. – Ed. by Robin Blackburn, Fontana/Collins, 1977, p. 284-305.  JAEGGI, Rahel. Alienation: News directions in Critical Theory. Columbia Uni. Press, 2014.  HERÁCLITO, de Éfeso. Heráclito : fragmentos contextualizados. Tradução, apresentação e comentários Alexandre Costa. – São Paulo : Odysseus Editora, 2012.  HEGEL, G. W. F. Fenomenologia do Espírito [Phänomenologie des Geistes]. Tradução de Paulo Meneses; com a colaboração de Karl-Heinz Efken, e José Nogueira Machado. – 5. ed. – Petrópolis, RJ : Vozes : Bragança Paulista, Editora Universitária São Francisco, 2008.  MARX, Karl. Das Kapital: Der Produktionprozess des Kapitals. Erster Band, Erstes Buch (Kapitel XVI-LII). Hamburg, Nikol Verlag., 2016.  MARX, Karl. Grundrisse: manuscritos econômicos de 1857-1858 : esboços da crítica da economia política. – supervisão editorial Mario Duayer; tradução Mario Duayer, Nélio Schneider (colaboração de Alice Helga Werner e Rudiger Hoffman). – São Paulo : Boitempo; Rio de Janeiro: Ed. UFRJ, 2011.  MARX, Karl. Manuscritos econômico-filosóficos. [Ökonomie-philosophische Manuskripte] Tradução, apresentação e notas de Jesus Ranieri. - 2. reimp. - São Paulo : Boitempo Editorial, 2008.  MARX, Karl. O Capital – Crítica da Economia Política. Livro 1 – O Processo de Produção do Capital. Vol. I – 10 ª. Edição, Tradução de Reginaldo Sant’ Anna. Do original em alemão: DAS KAPITAL – Kritik der politischen Ökonomie (Buch I: Der Produktionsprozes des Kapitals, Quarta edição, 1890). São Paulo : DIFEL, 1985.  MARX, Karl. O Capital – Crítica da Economia Política. Livro 1 – O processo de produção do capital. Do original em alemão: DAS KAPITAL – Kritik der politischen Ökonomie (Buch 1: Der Produktionsprozess des Kapitals.  – São Paulo: Boitempo, 2013.   NICHOLS, Bill. Ideology and the Image: Social Representation in the Cinema and Other Media. Bloomington: Indiana University Press, 1981.


1989 ◽  
Vol 21 (8-9) ◽  
pp. 1057-1064 ◽  
Author(s):  
Vijay Joshi ◽  
Prasad Modak

Waste load allocation for rivers has been a topic of growing interest. Dynamic programming based algorithms are particularly attractive in this context and are widely reported in the literature. Codes developed for dynamic programming are however complex, require substantial computer resources and importantly do not allow interactions of the user. Further, there is always resistance to utilizing mathematical programming based algorithms for practical applications. There has been therefore always a gap between theory and practice in systems analysis in water quality management. This paper presents various heuristic algorithms to bridge this gap with supporting comparisons with dynamic programming based algorithms. These heuristics make a good use of the insight gained in the system's behaviour through experience, a process akin to the one adopted by field personnel and therefore can readily be understood by a user familiar with the system. Also they allow user preferences in decision making via on-line interaction. Experience has shown that these heuristics are indeed well founded and compare very favourably with the sophisticated dynamic programming algorithms. Two examples have been included which demonstrate such a success of the heuristic algorithms.


2021 ◽  
Vol 11 (6) ◽  
pp. 2817
Author(s):  
Tae-Gyu Hwang ◽  
Sung Kwon Kim

A recommender system (RS) refers to an agent that recommends items that are suitable for users, and it is implemented through collaborative filtering (CF). CF has a limitation in improving the accuracy of recommendations based on matrix factorization (MF). Therefore, a new method is required for analyzing preference patterns, which could not be derived by existing studies. This study aimed at solving the existing problems through bias analysis. By analyzing users’ and items’ biases of user preferences, the bias-based predictor (BBP) was developed and shown to outperform memory-based CF. In this paper, in order to enhance BBP, multiple bias analysis (MBA) was proposed to efficiently reflect the decision-making in real world. The experimental results using movie data revealed that MBA enhanced BBP accuracy, and that the hybrid models outperformed MF and SVD++. Based on this result, MBA is expected to improve performance when used as a system in related studies and provide useful knowledge in any areas that need features that can represent users.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Fu Jie Tey ◽  
Tin-Yu Wu ◽  
Chiao-Ling Lin ◽  
Jiann-Liang Chen

AbstractRecent advances in Internet applications have facilitated information spreading and, thanks to a wide variety of mobile devices and the burgeoning 5G networks, users easily and quickly gain access to information. Great amounts of digital information moreover have contributed to the emergence of recommender systems that help to filter information. When the rise of mobile networks has pushed forward the growth of social media networks and users get used to posting whatever they do and wherever they visit on the Web, such quick social media updates already make it difficult for users to find historical data. For this reason, this paper presents a social network-based recommender system. Our purpose is to build a user-centered recommender system to exclude the products that users are disinterested in according to user preferences and their friends' shopping experiences so as to make recommendations effective. Since there might be no corresponding reference value for new products or services, we use indirect relations between friends and “friends’ friends” as well as sentinel friends to improve the recommendation accuracy. The simulation result has proven that our proposed mechanism is efficient in enhancing recommendation accuracy.


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