Matches in UGent Biblio for { ?s ?p In this paper, we focus on consumer's needs for new products. Normally consumers search for these new products in internet by using a web search engine. They focus on websites of specific selected enterprises where they suppose the existence of such new products. Very often, consumers only get information from enterprise websites about existing products. However, these products do not fulfill consumer's needs for new products. Then, they probably request the enterprise hotline to ask for these new products. The manual response process is time and cost consuming. If we identify consumer's needs for new products by time then we easily can preview consumers search queries and their intention. With this information, we can support marketing professionals to optimize the enterprise website concerning consumer's searching for new product ideas. Therefore in this paper, we present a semi-automatically approach that firstly extracts consumer's needs for new products from the internet and that secondly compares these new product ideas with existing or future products from the enterprise. After company's decision to realize the new product ideas as product in future or not, the approach thirdly gives recommendation to marketing professionals for optimizing an enterprise website in a way that consumers find information about their new needs. This increases customer satisfaction and reduces expenditure of time and cost.. }
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- aggregation abstract "In this paper, we focus on consumer's needs for new products. Normally consumers search for these new products in internet by using a web search engine. They focus on websites of specific selected enterprises where they suppose the existence of such new products. Very often, consumers only get information from enterprise websites about existing products. However, these products do not fulfill consumer's needs for new products. Then, they probably request the enterprise hotline to ask for these new products. The manual response process is time and cost consuming. If we identify consumer's needs for new products by time then we easily can preview consumers search queries and their intention. With this information, we can support marketing professionals to optimize the enterprise website concerning consumer's searching for new product ideas. Therefore in this paper, we present a semi-automatically approach that firstly extracts consumer's needs for new products from the internet and that secondly compares these new product ideas with existing or future products from the enterprise. After company's decision to realize the new product ideas as product in future or not, the approach thirdly gives recommendation to marketing professionals for optimizing an enterprise website in a way that consumers find information about their new needs. This increases customer satisfaction and reduces expenditure of time and cost.".