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Table 2: NB classification on editorial and customer reviews

in unknown title
by unknown authors

Table 3: NB classification on editorial and customer reviews using only function words

in unknown title
by unknown authors
"... In PAGE 2: ... We conducted a classification experiment using only function words. As shown in Table3 , the classification accuracies are comparable to those using all terms, which verifies that function words are good features. Table 3: NB classification on editorial and customer reviews using only function words ... ..."

Table A. Occurrence of the benefit issues for the customer in the articles reviewed

in Evaluating the Software as a Service Business Model: From CPU Time-Sharing to Online Innovation Sharing
by Markku Sääksjärvi, Aki Lassila, Henry Nordström 2005
Cited by 1

Table 1. Comparing customer review recall for digital camera needs documented in several buying guides.

in Needs-Based Analysis of Online Customer Reviews
by Thomas Y. Lee
"... In PAGE 5: ... Likewise trip and vacation or cost and price. We evaluated our candidate set of needs against needs drawn from a set of fifteen print and on-line buying guides summarized in Table1 . As noted in row 1, the guides list a minimum of five and a maximum of seventeen distinct needs.... ..."

Table 1: Sample Websites of Fair Trade Producers

in EXPLORING THE SPACE AND PRACTICE OF E-BUSINESS IN THE
by Alemayehu Molla
"... In PAGE 7: ... Although an increasing number of producers and producer groups are building their own Websites, the functionality is limited to providing basic company and product information. Table1 provides a sample summary of ten producer Websites. From the sample, only one producer supports on-line transaction, three provide the function of email order, and the remaining does not have transactional functionality.... ..."

Table 3). The results suggest that repeatedly switching between depth-first and breadth-first search may indicate that the shopper has searched for a high-involvement and high price product. They began to explore product selections in breadth-first search until finding one product for which they looked up detailed information. They then switched to depth-first search to read through the product descriptions, product features, editor reviews, customer reviews, and technical specification. After they gained more knowledge about digital camera, they began to search for alternatives, bringing them back to breadth-first search. Repeating this process several times, they decided to compare major features and price for the best two products. Results of Task 2 show that shopper switching between two search-modes around 5 times (See Table 3).

in Inside the Customer: Modeling Cognition during Online Shopping
by Peishih Chang, Il Im, David Mendonça
"... In PAGE 6: ...rom a depth-first search to a breadth-first search mode. The average number of search-mode switching for Task 1 is 0.5 times and the average completion time of Task 1 was 1.7 minutes (see Table3 for results). For Task 2, purchasing a 5MP digital camera as a gift for mother (high price and high involvement product), all subjects except subject 1 looked up for three or four alternatives.... In PAGE 6: ... Table3 : Results by Product Type Price and brand also seem very important for electronics purchasing. They used their perceived best digital camera brands to narrow down their search.... ..."

Table 2: Literature Review

in Customer Base Analysis: Partial Defection of . . .
by Wouter Buckinx, Dirk Van Den Poel 2005
"... In PAGE 5: ... So in the long run partial defection may lead to total defection. Table2 reveals that the churn issue has been underresearched in the retail sector. Moreover, all analyses consider total defection.... In PAGE 6: ..., 2000). Table2 reveals that no prior research focused only on the most relevant part of the customer base (in terms of profitability). Instead, they considered all clients.... ..."
Cited by 7

Table 1: Statistics of experiment datasets

in unknown title
by unknown authors
"... In PAGE 1: ...com which are most relevant to humanities: British classic literature books and classical music. We downloaded both editorial and customer reviews in the two categories, and the data statistics are shown in Table1 . It is noteworthy that the length of customer reviews is highly variable.... ..."

Table V. Statistics by book category: np:number of products in category, n number of customers, cc percentage of customers in the largest connected component, rp1 av. # reviews in 2001 { 2003, rp2 av. # reviews 1st 6 months 2005, vav average star rating, cav average number of people recommending product, cav=rp1 ratio of recommenders to reviewers, pm median price, b ratio of the number of purchases resulting from a recommendation to the number of recommenders. The symbol ** denotes statistical signiflcance at the 0.01 level, * at the 0.05 level.

in The Dynamics of Viral Marketing JURE LESKOVEC Carnegie Mellon University
by Lada A. Adamic, Bernardo A. Huberman

Table 2. An Analysis of Complai

in Figure 1. Key Components of e-CRM
by Yooncheong Cho, Il Im, Roxanne Hiltz, Jerry Fjermestad
"... In PAGE 7: ...Discussion Table2 provides what are the major online customer complaints, based on this review of customer complaints reported in feedback systems. According to this result, online customer complaints have been produced from the unsatisfactory customer service (# of reviews: 169 (33.... ..."
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