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The AHP Method for the Evaluation and Selection of Complementary Products
2018
International Journal of Service Science Management Engineering and Technology
Preserved Fulltext
Journal of Information Systems in the Service Sector (pp. 36-57). evaluation-and-selection-of-complementary-
products/204965?camid=4v1
International ...
(Thai-Nghe et al., 2010), e-commerce (Wei, Shaw & Easley, 2001) . ...
camid=4v1a
International Journal of E-Services and Mobile ...
doi:10.4018/ijssmet.2018070107
fatcat:z3qdvtayxnelxkd3gl4zzyay5u
An AHP-based Model for Selecting Complementary Products
2015
International Journal of Computer Applications
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The selection of the best products is done according to certain criteria, which are evaluated and ranked in order to determine the criteria that drives one customer to cross sell. ...
When having already purchased one product, it is likely that the consumer may look for complementary products to the bought one. ...
They have been used in different domains: tourism [9] , e-learning [10] , e-commerce [11] . ...
doi:10.5120/21389-4425
fatcat:ofdgjqldvve7rcxtcjb5ymt3lm
Inferring Complementary Products from Baskets and Browsing Sessions
[article]
2018
arXiv
pre-print
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Complementary products recommendation is an important problem in e-commerce. Such recommendations increase the average order price and the number of products in baskets. ...
Complementary products are typically inferred from basket data. In this study, we propose the BB2vec model. ...
CONCLUSIONS In this paper, we proposed the BB2vec model for complementary products recommendation in e-commerce. ...
arXiv:1809.09621v1
fatcat:cbafljif3zdqjki4yhoqrdqloy
E-Commerce Recommender For Usage Bandwidth Hotel
2018
Indonesian Journal of Electrical Engineering and Computer Science
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The aim of this research is to evaluate the recommendation system, as a promotion model or product offered, on e</span>-c<span lang="EN-US">ommerce to the customer interest. ...
There are four factors value creation, efficiency, lock-in, complementary and novelty based on R. Amit's and Zott theory. ...
However, several studies about show that the four factors (efficiency, lock-in, complementary and novelty) influence the value creation in e-business or e-commerce [11] [18] . ...
doi:10.11591/ijeecs.v9.i1.pp227-233
fatcat:vpjzmmqzdnc27lchecmsmzn3jy
Complementary Product Recommendation for Long-tail Products
2023
Proceedings of the 17th ACM Conference on Recommender Systems
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Identifying complementary relations between products plays a key role in e-commerce Recommender Systems (RS). ...
of small and medium e-commerce platforms with limited number of interactions. ...
The work is conducted as a collaboration with the Luigi's Box 2 -AI-powered site search and product discovery for e-commerce. ...
doi:10.1145/3604915.3608864
fatcat:24sudm4stvblnog3lqoxx2o72e
Enhancing customer value through click-and-mortar e-commerce: implications for geographical market reach and customer type
2004
Telematics and informatics
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Thirdly, click-and-mortar e-commerce can make it easier and less costly to make a purchase within a firmÕs existing market, which may have the effect of bringing in new customers in that market. ...
First of all, clickand-mortar e-commerce is used to strengthen relations with existing customers in geographical markets where firms are already active. ...
We selected a large and small firm in each product segment to add more variability to the possible click-and-mortar e-commerce approaches (see Table 1 ). ...
doi:10.1016/s0736-5853(03)00055-8
fatcat:53iwhzjrsvag5bkz7jybzsjgxe
Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach
2017
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '17
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model approach for predicting push message open rate for a post-purchase complementary product recommendation task. e mixture model is trained to learn latent prediction contexts, which are determined ...
Push noti cation is a key component for E-commerce mobile applications, which has been extensively used for user growth and engagement. e e ectiveness of the push noti cation is generally measured by message ...
Here we present the method we use for complementary product candidate selection. ...
doi:10.1145/3077136.3080676
dblp:conf/sigir/ZhaoSLZ17
fatcat:f6mcds7davcntezvjbmzuutioe
Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach
[article]
2017
arXiv
pre-print
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A set of experiments are conducted to evaluate the proposed method live with a popular E-Commerce mobile app. ...
This paper proposes a mixture model approach for predicting push message open rate for a post-purchase complementary product recommendation task. ...
Here we present the method we use for complementary product candidate selection. ...
arXiv:1707.08113v1
fatcat:3kpypajm2bhenas5i7rpegwmxa
The Utilization of Data Mining Analytics to Enhance the Return on Investment of Online Document Repositories
2004
Americas Conference on Information Systems
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This research paper addresses the utilization of complementary technologies to more effectively identify and accommodate market demand for knowledge resources available in a document repository. ...
With this information, e-commerce platforms can more effectively direct consumers to existing resources that are available within a document repository. ...
COMPLEMENTARY TECHNOLOGIES THAT INCREASE EFFICIENCY The evolution of e-commerce has provided consumers an additional medium in which to acquire information and generally conduct commerce. ...
dblp:conf/amcis/KudybaAL04
fatcat:7tvzqxfbjvd4zi55peybkf6jja
Mirroring E-service for Brick and Mortar Retail: An Assessment and Survey
2019
International Conference on Wirtschaftsinformatik
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Supported by the customer adaption of e-commerce and digital technologies, this paper applies the lens of channel complementary theory to BaM. ...
Drawing from the dominant design theory, we first assess leading e-commerce solutions to identify dominant e-service touchpoints, which are then mirrored for their application in BaM retail. ...
Acknowledgments This paper was developed in the research project smartmarket 2 , which is funded by the German Federal Ministry of Education and Research (BMBF), promotion sign 02K15A074. ...
dblp:conf/wirtschaftsinformatik/BetzingNBH019
fatcat:7b5g3tcq5jeovj4d7rstnuapdu
Identifying Substitute and Complementary Products for Assortment Optimization with Cleora Embeddings
[article]
2022
arXiv
pre-print
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Recent years brought an increasing interest in the application of machine learning algorithms in e-commerce, omnichannel marketing, and the sales industry. ...
The algorithm can be used in various enterprises, effectively identifying substitute and complementary product options. ...
Based on proprietary Walmart dataset Xu et al. [2020] introduced product knowledge graph (PKG) embedding approach for learning products relationships in e-commerce. ...
arXiv:2208.06262v1
fatcat:ze23o3hec5f43fwkovpib5rrje
Value-Mapping of E-Commerce Business Models
2020
International Conference on Information Systems
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Startups dream of becoming unicorns, but only a few make it to the top in the e-commerce space. Where should they look for value creation? ...
E-commerce firms can locate themselves on this matrix and take appropriate steps for creating value. ...
We did not select not so well to do e-commerce firms as they would not offer anything meaningful to us in terms of learning from their strategies. ...
dblp:conf/icis/KuchiG20
fatcat:mzww5oujbzdlrb5i5ajoe3is3i
Recommendation systems and convergence of online reviews: The type of product network matters!
2020
Decision Support Systems
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Data is collected from a major Swiss e-commerce platform and analyzed via various econometrics models. ...
In contrast, a connection via a "complementary" recommender system leads to the product ratings' divergence. ...
A major difference between the underlying Swiss e-commerce platform and the other e-commerce platforms is in its product recommendations, which is the main reason why it was selected for this research. ...
doi:10.1016/j.dss.2020.113475
fatcat:ulbxlwupe5burisqqddilieqjm
Session-based Complementary Fashion Recommendations
[article]
2019
arXiv
pre-print
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In modern fashion e-commerce platforms, where customers can browse thousands to millions of products, recommender systems are useful tools to navigate and narrow down the vast assortment. ...
e-commerce platform with 28 million active customers. ...
DOI: fashion e-commerce platform in Europe, one of the most-used recommendation tools is the complementary item recommendations. ese recommendations are displayed in the Product Display Page (PDP), which ...
arXiv:1908.08327v1
fatcat:rqnsrdwtxfgm7cdcd6sctoj3ri
Digital Platform Owners' Entry Modes in E-commerce Landscape: An Empirical Study on Amazon.com
2020
Pacific Asia Conference on Information Systems
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The preliminary results show that the direct entry mode is preferred by Amazon to enter successful product spaces while the private-label entry mode is favored when targeting less competitive product spaces ...
identified the expropriation threats from platform owners on complementors and the competition between them, little attention has been paid to different entry modes adopted by platform owners to enter complementary ...
For e-commerce platforms, direct entry and private-label entry are two major entry modes for platform owners to enter complementary markets. ...
dblp:conf/pacis/ZhengPCLC20
fatcat:poxfcug7pbhejfbgtvudqyu5li
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