Generating Recommendation Status of Electronic Products from Online Reviews

Ojokoh, Bolanle Adefowoke; Olayemi, Olufunke Catherine; Adewale, Olumide Sunday

doi:10.4236/ica.2013.41001

Cited by 5 publications

(11 citation statements)

References 16 publications

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“…Calculate the overall utility value of each differential semantic term separately: the triangular fuzzy number of "Extremely conflicting" is (0,0,1), the overall utility value was 0.10; the TFN of "A little conflicting" is (0,1,2), the overall utility value is 0.25; the "Average" TFN is (1,2,3), and the overall utility value is 0.50; the "A little appropriate" TFN is (2,3,4), the overall utility value is 0.75; the "Extremely appropriate" TFN is (3,4,4) and the overall utility value is 0.90.…”

Section: Establishment Of the Dccbmentioning

confidence: 99%

“…With the convenience provided by e-commerce, more merchants and consumers have been involved in different e-commerce platforms to realize the merchant-consumer interaction based on the digital-commerce platforms (Amazon, Taobao). 1 At present, online business cover almost all consumer goods, such as electronics, 2 food, 3 fashion, 4 living, 5 etc. Meanwhile, consumers are seeking products that are able to express their personality, fulfil their values, and satisfy their preferences.…”

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confidence: 99%

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Development of novel fashion design knowledge base by integrating conflict rule processing mechanism and its application in personalized fashion recommendations

Xue

Jin

Hong

et al. 2022

Textile Research Journal

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Currently, consumers are increasing the demand for personalized fashion recommendation systems, especially in e-commerce. The success of fashion recommendation largely relies on the fashion design knowledge base, which is the modelling of the professional knowledge and experience of fashion designers. As fashion products are rather emotional and easily influenced by fashion trends, fashion design knowledge bases always involve rich fashion-style words and various garment component elements, which results in conflict rules in personalized fashion recommendations. For system users, the recommendations cannot fully meet their personalized needs. In this context, this article proposes a novel garment design knowledge base by integrating the conflict rule processing mechanism and its application to the personalized fashion recommendation system. The proposed research methodology of the processing mechanism is based on subjective evaluation and fuzzy logic. Firstly, through the subjective evaluation by an expert group, the relationship between fashion-style words and garment component elements is established. After that, the conflict categories are identified and then the relationship between conflict categories and garment component elements is established. As the experimental data obtained from the subjective evaluation are semantics, fuzzy logic is employed to quantify and model the relationships. Finally, the established processing mechanism of conflict rules is applied to establish a personalized dress recommendation system in order to validate its performance. The experimental results show that the proposed mechanism is feasible and able to enhance the success of the recommendation, which can be further applied to the recommendation of all kinds of garments and other industrial products.

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Section: Establishment Of the Dccbmentioning

confidence: 99%

mentioning

confidence: 99%

Development of novel fashion design knowledge base by integrating conflict rule processing mechanism and its application in personalized fashion recommendations

Xue

Jin

Hong

et al. 2022

Textile Research Journal

View full text Add to dashboard Cite

show abstract

“…This quantification is then used to run an ordinal regression with overall rating as the dependent variable to find significant categories. Feature extraction using POS tags followed by feature mining using parse tree sequence and finally sentiment computation using polarization is done to generate recommendation system for electronic products (Ojokoh, 2013). Hongwei, Wei, & Pei (2014) does term extraction and estimation of its polarity and its strength to find out the weaknesses in a product.…”

Section: Feature Extraction and Text Summarizationmentioning

confidence: 99%

Assessment, Implication, and Analysis of Online Consumer Reviews: A Literature Review

Anand

Srivastava

Rakshit

2017

PAJAIS

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The onset of e-marketplace, virtual communities and social networking has appreciated the influential capability of online consumer reviews (OCR) and therefore necessitate conglomeration of the body of knowledge. This article attempts to conceptually cluster academic literature in both management and technical domain. The study follows a framework which broadly clusters management research under two heads: OCR Assessment and OCR Implication (business implication). Parallel technical literature has been reviewed to reconcile methodologies adopted in the analysis of text content on the web, majorly reviews. Text mining through automated tools, algorithmic contribution (dominant majorly in technical stream literature) and manual assessment (derived from the stream of content analysis) has been studied in this review article. Literature survey of both the domains is analyzed to propose possible area for further research. Usage of text analysis methods along with statistical and data mining techniques to analyze review text and utilize the knowledge creation for solving managerial issues can possibly constitute further work.

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“…Their result was able to express emotions about a particular area to an individual.However, these relatively successful techniques often fail when moved to new location, because they are inflexible regarding the ambiguity of sentiment terms. Ojokoh et al (2012) tackled the problem of reading overwhelming large number of reviews available online about product to be purchased by customers and provide a quick description and summary of the performance of the product. This makes it possible for customers to make better and quick decision, and also help manufacturers improve their products and services.…”

Section: Social Media Sentiment Analysismentioning

confidence: 99%

“…Existing researches have considered some areas in weblog analysis, in terms of textual analysis (Zielinski et al, 2013;Kumar et al, 2004) with regards to spatiotemporal consideration (Sowjanya et al, 2014); some have worked on sentiment analysis (Ojokoh et al, 2012;Kumar et al, 2004;Pang & Lee, 2008;Mike et al, 2009; Jayanta & Abhisek, 2011), topic modelling and busty event detection; none have reported theme analysis in weblog. The occurrence of a theme with respect to predicate and object shows how much the theme is prominent for time duration in a particular location.…”

Section: Introductionmentioning

confidence: 99%

Discovering Spatio-temporal Patterns of Themes in Social Media

2016

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Social networking website creates new ways for engaging people belonging to different communities, moral and social values to communicate and share valuable knowledge, therefore creating a large amount of data. The importance of mining social media cannot be over emphasized, due to significant information that are revealed which can be applied in different areas. In this paper, a systematic approach for traversing the content of weblog, considering location and time (spatiotemporal) is proposed. The proposed model is capable of searching for subjects in social media using Boyer Moore Horspool (BMH) algorithm with respect to location and time. BMH is an efficient string searching algorithm, where the search is done in such a way that every character in the text needs not to be checked and some characters can be skipped without missing the subject occurrence. Semantic analysis was carried out on the subject by computing the mean occurrence of the subject with the corresponding predicate and object from the total occurrence of the subject. Experiments were carried out on two datasets: the first category was crawled from twitter website from September to October 2014 and the second category was obtained from spinn3r data set made available through the International AAAI (Association for the Advancement of Artificial Intelligence) Conference on Web and Social Media (ICWSM). The results obtained from tracking some subjects such as Islam and Obama shows that the mean occurrence of the analysis of the subject successfully reveals the pattern of the subject over a period of time for a specific location. Evaluation of the system which is based on performance and functionality reveals that the model performs better than some baseline models. The proposed model is capable of revealing spatiotemporal pattern for a subject, and can be applied in any area where spatiotemporal factor is to be considered.

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Generating Recommendation Status of Electronic Products from Online Reviews

Cited by 5 publications

References 16 publications

Development of novel fashion design knowledge base by integrating conflict rule processing mechanism and its application in personalized fashion recommendations

Development of novel fashion design knowledge base by integrating conflict rule processing mechanism and its application in personalized fashion recommendations

Assessment, Implication, and Analysis of Online Consumer Reviews: A Literature Review

Discovering Spatio-temporal Patterns of Themes in Social Media

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