Agents as Mediators in Electronic Commerce

In this study, a novel product search engine system which supports "find the best products for a given category" type queries is proposed. The product search engine system consists of a focused crawler, a record linkage system, a sentiment analyzer, and a query engine system. The focused crawler is used to crawl product information from various e-commerce sites; the record linkage system determines the identical products that are crawled from different e-commerce sites; the sentiment analyzer classifies users' reviews about the products as positive or negative so that our product search engine can decide which product is the best for a given category; and the query engine takes the user queries and displays the result. All implementations are done by using C# programming language in .NET 4.5 framework, and MS-SQL Server 2014 database management system is employed for data storage. The core of our system is the record linkage part which is based on a modified incremental Hierarchical Agglomerative Clustering algorithm. To improve the success of record linkage process we also develop a product code matching system such that if the two products from different e-commerce sites have the same product code they are considered as the same. In our experimental analysis we observe 96.25% F-measure in record linkage of E-commerce products and 100% precision in most related products search. Our system can successfully offer best products for a given category. The proposed system achieves to provide better user experience than the existing systems. ÖzBu çalışmada, "verilen bir kategori için en iyi ürünleri bul" tarzındaki sorguları destekleyen özgün bir ürün arama motoru sistemi önerilmektedir. Geliştirilen ürün arama motoru sistemi, bir odaklı tarayıcı, bir kayıt eşleştirme sistemi, bir duygu analizi sistemi ve bir sorgu motoru sisteminden oluşmaktadır. Odaklı tarayıcı sistemi çeşitli e-ticaret sitelerindeki ürün bilgilerini elde etmek için kullanılmaktadır; kayıt eşleştirme sistemi farklı e-ticaret sitelerinde satılan aynı ürünleri tespit etmektedir; duygu analizi sistemi ürünlere yapılan kullanıcı yorumlarını olumlu veya olumsuz olarak sınıflandırmakta ve bu sınıflandırma hangi ürünlerin aranan kategori için en iyi ürün olduğunu belirlemek için kullanılmaktadır ve sorgu motoru ise kullanıcıların sorgusunu alıp kullanıcılara sonuçları göstermektedir.

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“…It does not utilize any record linkage system. There exist numerous CSA studies in the literature such that [5,6] …”

Section: Csa Systemsmentioning

confidence: 99%

“En İyi Ürün” Sorgularını Destekleyen Bir Ürün Arama Motoru

Gözükara¹,

Özel²

2016

Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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“…They help automate a variety of activities, most of which are time consuming. Software agents differ from "traditional" software in the sense that they are personalized, social, continuously running and semiautonomous (Gutmann, Moukas & Maes, 1998). In this way, the Internet is becoming more user-friendly, semi-intelligent and human-like.…”

Section: Agentsmentioning

confidence: 99%

“…Shopping agents find products (the following terms: product/object/item/entity represent synonyms in this paper) under the best terms among different ecommerce sites (Dastani, Jacobs, Jonker, Catholyn & Truer, 1999;Gutmann, Moukas & Maes, 1998). A shopping agent queries multiple sites on behalf of a shopper to gather pricing and other information on products and services.…”

Section: Agentsmentioning

confidence: 99%

Domain-dependent information gathering agent

Pivk

Gams

2002

Expert Systems with Applications

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A universal agent should be capable of gathering information from arbitrary heterogeneous sites and offer intelligent information services on its own based on information so gathered. We present a domain-dependent agent for information gathering. It can visit an arbitrary domain-related site by observing a user perform the first query. By understanding key concepts of the first query, the agent performs subsequent queries autonomously. When a user asks the agent about a particular item, the agent gathers relevant information from various sites. The major advantage of the agent is a semiautomatic creation of a wrapper around a particular site with few human interventions. We have implemented two versions of such information-gathering agents: ShinA (SHoppINg Assistant) for e-trading tasks, and EMA (EMployment Agent), which performs employment and job related functions over the Internet.

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“…Research work done during the last few years has dealt with a diversity of tasks involved in buying and selling goods and services in an electronic market (e-market) [1,19], and resulted to the implementation of a plethora of systems automating tasks such as product brokering, merchant brokering, and negotiation [5,17]. Moreover, as many analysts predict, agent-mediated electronic commerce would further revolutionize Internet Commerce (see, for instance, [16]).…”

Section: Introductionmentioning

confidence: 99%