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E-commerce Recommendation with Weighted Expected Utility
[article]
<span title="2020-08-19">2020</span>
<span class="release-stage" >pre-print</span>
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To deal with the potential psychological biases of each consumer, we introduce the usage of Probability Weight Function (PWF) and design our algorithm based on Weighted Expected Utility (WEU). ...
We assume that consumer estimates the expected utilities of all the alternatives and choose products with maximum expected utility for each purchase. ...
Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect those of the sponsor. ...
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The Hybrid Recommender System of the Indonesian Online Market Products using IMDb weight rating and TF-IDF
<span title="2021-10-31">2021</span>
<i title="Ikatan Ahli Informatika Indonesia (IAII)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6t7sigj55nc4biqnterudxeqpq" style="color: black;">Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)</a>
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Some researchers implemented a recommender system as filtering to increase customers' experience in social media and e-commerce. ...
This research employs the IMDb weight rating formula to get the best score lists and TF-IDF with Cosine similarity to create the similarity between products to produce related items. ...
The e-commerce recommendation system processes information from e-commerce websites and analyzes it based on existing transaction products [15] . ...
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Customer Preferences of Offline Store Atmosphere of Berry Benka with Conjoint Analysis Method
<span title="2020-08-30">2020</span>
<i title="Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/h673cvfolnhl3mnbjxkhtxdtg4" style="color: black;">International Journal of Engineering and Advanced Technology</a>
</i>
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RESULT ACHIEVED is generally for some aspects Berry benka's Offline Store have met customer expectation but not fully compliant. ...
ANALYSIS using this Conjoint method can know which aspects among the components that have the most value and the combination as what is expected by the customer. ...
Table - I - : E-commerce Ranking
Rank of
Popular
E-commerc
e
PBI
Rank of
Popular
E-commerc
e
PBI
1
Lazada
29.2
9
Bhineka
2.1
2
OLX
22.1
10
Blibli
1.8
3
Berniaga
8.9
11
Groupon ...
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Application of the analytic hierarchy process in the selection of storage rack systems for e-commerce clothing industry
<span title="2018-12-30">2018</span>
<i title="Pressacademia">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/j3z4iwf72fhjtbpob3gjcp2squ" style="color: black;">Pressacademia</a>
</i>
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In parallel with the developments in technology, customer expectations especially in e-commerce sector are increasing. ...
At this point, parcel delivery companies need to improve their processes and increase their level of integration with e-commerce companies. ...
High processing, fast and error-free product placement and picking capacity Low labor cost Suitable for companies with a wide variety of product stocks and high stock circle speed Minimizing the ...
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AN INVESTMENT PORTFOLIO RECOMMENDATION SYSTEM FOR INDIVIDUAL E-COMMERCE USERS
<span title="2018-03-20">2018</span>
<i title="DEStech Publications">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/oepoggqi3bgnbds2j2j6zruxjy" style="color: black;">DEStech Transactions on Engineering and Technology Research</a>
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behavior of nearest neighbor investors with similar risk preference. ...
The objective of this paper is to develop a recommendation system which can recommend specific investment plan for different risk preference Internet investors. ...
The RS plays a more and more important role with the development of e-commerce. ...
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<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12783/dtetr/icpr2017/17674">doi:10.12783/dtetr/icpr2017/17674</a>
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Survey on Recommendation of E-commerce products to existing and new user by Analyzing Social data along with e-commerce data
<span title="2020-07-31">2020</span>
<i title="International Journal for Modern Trends in Science and Technology (IJMTST)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wwe6wjqwdjfqzlwt2ll6qkekge" style="color: black;">International journal of modern trends in science and technology</a>
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Customers can moreover post their as of late purchased things on smaller scale web journals with associations with the online business thing webpage pages. ...
At this moment, the line between Online Media and E-exchange is diminishing. ...
K B Manwade, "Survey on Recommendation of E-commerce products to existing and new user by Analyzing Social data along with e-commerce data" ...
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Utility-Based Decision Tree Optimization: A Framework for Adaptive Interviewing
[chapter]
<span title="">2001</span>
<i title="Springer Berlin Heidelberg">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a>
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An emerging practice in e-commerce systems is to conduct interviews with buyers in order to identify their needs. ...
Online Reasoning A final open research problem is related to the fact that in some e-commerce systems the initial set of products to be considered in the interview process will not be the same for all ...
In the extreme case, every buyer will start with a different set of products, and in some systems this set of products might also change independently of the information collected in the interview. ...
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Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce
[article]
<span title="2020-02-07">2020</span>
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arXiv
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<span title="2020-06-09">2020</span>
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In this paper, we present our work towards comparing on-line and off-line evaluation metrics in the context of small e-commerce recommender systems. ...
Recommending on small e-commerce enterprises is rather challenging due to the lower volume of interactions and low user loyalty, rarely extending beyond a single session. ...
. • Using weighted average of recommendations with temporal weights. ...
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Customer Satisfaction of Recommender System: Examining Accuracy and Diversity in Several Types of Recommendation Approaches
<span title="2021-05-30">2021</span>
<i title="MDPI AG">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/oglosmy3gbhuzobyjit4qalakq" style="color: black;">Sustainability</a>
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of e-commerce. ...
Global e-commerce companies offer recommender systems to gain a sustainable competitive advantage. ...
in the e-commerce industry. ...
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Exploring Customer Price Preference and Product Profit Role in Recommender Systems
<span title="">2021</span>
<i title="Institute of Electrical and Electronics Engineers (IEEE)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3vh5mzjvind2vk5qmq5bpyxhqa" style="color: black;">IEEE Intelligent Systems</a>
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Such an outcome represents a win-win situation when e-commerce increases the profit and customers get more valuable recommendations. ...
In this paper, we explore the impact of manipulating the profit awareness of a recommender system. An average e-commerce business does not usually use a complicated recommender algorithm. ...
They utilized profit optimization using an evolution strategy, where the reward was an expected profit. ...
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Critical factors that impact purchase online of new telecom convergent services in the Mexican market
<span title="">2010</span>
<i title="Universidad Autónoma de Nuevo León">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/u6dq2ftwdrbspfr44tygu6wkry" style="color: black;">Innovaciones de Negocios</a>
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commerce in the Mexican Market. ...
The study determined that perceived utility and trust variables are statistically relevant and significant in determining purchase online of new telecom convergent services and the development of electronic ...
intent. • Online purchase intent is relevant with a weight of 43.5% and significant at 95% confidence level as mediating variable between perceived utility and trust with adoption of convergent services ...
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A diversity-based method for infrequent purchase decision support in e-commerce
<span title="">2005</span>
<i title="Elsevier BV">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pxenytfo2ndyhdlpzhbibav3pi" style="color: black;">Electronic Commerce Research and Applications</a>
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In this paper we propose a method for supporting consumer buying decisions in e-commerce. ...
The preliminary experiments with the prototype for notebook selection provide some support in favor of our approach over the catalog-based systems. ...
E-commerce buyer decision support
System architecture The architecture for e-commerce buying decision support system is shown on Fig. 3 . ...
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Critical factors that impact purchase online of new telecom convergent services in the Mexican market
<span title="2017-12-07">2017</span>
<i title="Universidad Autonoma de Nuevo Leon">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/u6dq2ftwdrbspfr44tygu6wkry" style="color: black;">Innovaciones de Negocios</a>
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Key words: Diffusion of innovations, electronic commerce, structural equations, Smart-PLS, technology acceptanceAbstract. ...
The study determined that perceived utility and trust variables are statistically relevant and significant in determining purchase online of new telecom convergent services and the development of electronic ...
intent. • Online purchase intent is relevant with a weight of 43.5% and significant at 95% confidence level as mediating variable between perceived utility and trust with adoption of convergent services ...
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Accessing E-Commerce Through Social Media: Recommending Cold-Start Product Using Advanced Feature Mapping Method
<span title="2018-05-31">2018</span>
<i title="Science Publishing Corporation">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/piy2nrvrjrfcfoz5nmre6zwa4i" style="color: black;">International Journal of Engineering & Technology</a>
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Many e-commerce sites support social access mechanisms where users can log into sites utilizing their interpersonal organization accounts. ...
Specifically, we offer using user-generated and product-specific presentations of e-commerce sites that use regular neural networks and then use modified degraded trees to convert users' social network ...
It is important for the new direction of e-commerce in social networks develop product delivery systems to take advantage of the knowledge acquired in social networks. ...
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A brokering protocol for agent-based e-commerce
<span title="">2000</span>
<i title="Institute of Electrical and Electronics Engineers (IEEE)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yppgahlq6ndebeq5yvdc23slyy" style="color: black;">IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)</a>
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Index Terms-Agent-mediated e-commerce, information agent, information brokering, multi-agent system. ...
This paper explores issues of engineering agents that partially automate some of the activities of information brokering in e-commerce. ...
Furthermore, as a middle agent, the support of negotiation stage of e-commerce is being devised. ...
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